李增扬 (Zengyang Li)

李增扬 (Zengyang Li)

Associate Professor in Software Engineering

基本信息

李增扬，博士，副教授，硕士生导师，任职于华中师范大学计算机学院软件工程系。入选华中师范大学首届“桂子青年学者”。主要研究方向为多编程语言软件、智能化软件工程和智能化教育等。主持国家自然科学基金1项、省部级基金4项、全国重点实验室开放基金1项、横向项目1项，参与国家自然科学基金4项、国家重点研发计划课题1项、华为产学研项目1项。已在TOSEM、JSS、IST、EMSE、TCYB、ASEJ、ASE、ESEM、ICSME、ICPC等知名期刊和会议发表论文80余篇，其中ESI高被引论文2篇，总被引2400余次（2026年3月），单篇最高被引1000余次。指导学生参加“中国软件杯”大学生软件设计大赛、中国大学生计算机设计大赛等竞赛，获得多项国家级奖项。招收学硕（计算机科学与技术）、专硕（软件工程、计算机技术）。

邮箱地址：zengyangli@ccnu.edu.cn; 办公地点：华中师范大学南湖校区综合楼7106室。

研究方向

  • 多编程语言软件（聚焦于由跨语言交互引起的质量问题）。
  • 智能化软件工程（使用代码大模型、LLM、深度学习、智能体等AI技术解决软件工程问题）。
  • 新兴领域的软件工程（深度学习框架、自动驾驶、工业互联网等领域的软件工程问题）。
  • 智能化教育（AI+教育、教育信息化软件系统等）。
  • 软件体系结构（维护和演化问题）。
  • 软件工程与网络科学交叉研究（软件分析与度量）。

工作经历

  • 2018至今, 副教授, 华中师范大学，计算机学院，软件工程系。
  • 2015-2018, 讲师、师资博士后, 武汉大学，计算机学院，软件工程系。
  • 2007-2010, 高级工程师，中兴通讯股份有限公司（深圳）。

教育经历

  • 2011-2015, 博士, 荷兰格罗宁根大学（University of Groningen），软件工程。
  • 2005-2007, 硕士, 武汉大学，软件工程国家重点实验室，计算机软件与理论。
  • 2001-2005, 本科, 武汉大学，数学与统计学院，信息与计算科学。

主讲课程

  • 本科生课程：算法设计与分析、软件构造。
  • 研究生课程：现代软件体系结构。

学生指导

  • 毕业硕士生就职于知名ICT企业、新能源汽车企业、国有银行、电信运营商、高校，或升学至中科院、武汉大学等攻读博士学位；指导的硕士生多人获得国家奖学金。
  • 指导学生参加“中国软件杯”大学生软件设计大赛和中国大学生计算机设计大赛等学科竞赛，获得国家级奖项多项；指导本科生发表了CCF B类期刊论文；欢迎有科研和竞赛兴趣的本科生加入课题组。
  • 曾担任2018级1803班班主任和2021级华为基地班班主任。

学术服务

  • 中国计算机学会（CCF）高级会员、软件工程专委会执行委员、服务计算专委会执行委员、开源发展技术委员会执行委员、传播工委委员。
  • 曾任CCF YOCSEF 武汉AC委员（2019-2024）。
  • 武汉计算机软件工程学会会员。
  • Reviewer for Journals: ACM TOSEM, IEEE TSC, JSS, IST, IEEE TR, IEEE TCSS, JSEP, SPE, IET Software, FCS, IJSEKE etc.
  • PC Member: SEKE 2021-2026、SEAA 2021-2026 STREAM Special Session、CEISEE 2023-2025。

科研项目

主持和参与各类科研项目十余项，其中主持国家自然科学基金1项、省部级基金4项、横向项目1项、全国重点实验室开放基金1项，参与国家自然科学基金4项、国家重点研发计划课题1项。

论文著作

发表论文80余篇，其中CCF A、B类及中科院SCI 一、二区论文40余篇，含ESI高被引论文2篇。据Google Scholar统计，总被引2400余次（2026年3月），单篇最高被引1000余次。申请专利软著多项。

以下论文带*为通讯作者，引用次数来自Google Scholar，分区为中科院SCI分区

期刊论文

  1. G. Cai, Z. Li*, P. Liang, R. Mo, H. Liu, Y. Ma, Bug Priority Change Prediction: An Exploratory Study on Apache Software, ACM Transactions on Software Engineering and Methodology, 2025, DOI: http://dx.doi.org/10.1145/3785148. (软件工程CCF A，SCI一区)
  2. Z. Li, P. Avgeriou, P. Liang, A systematic mapping study on technical debt and its management, Journal of Systems and Software, 2015, 101(3), pp. 193-220. (软件工程CCF B，SCI二区，Google Scholar上被引1030余次，ESI高被引论文)
  3. Z. Li, P. Liang, P. Avgeriou, Application of knowledge-based approaches in software architecture: A systematic mapping study, Information and Software Technology, 2013, 55(5), pp. 777-794. (软件工程CCF B，SCI二区，Google Scholar上被引100余次)
  4. Z. Li, B. Huang, Y. Li, R. Mo, P. Liang, H. Liu, Y. Ma, Unveiling Code Clones in the Eclipse IIoT Software Ecosystem, Journal of System and Software, 2026, 112869. (软件工程CCF B，SCI二区)
  5. Z. Li, X. Zhang, W. Wang, P. Liang, R. Mo, H. Liu, Automated Detection of Inter-Language Design Smells in Multi-Language Deep Learning Frameworks, Information and Software Technology, 2025,179, 107656. (软件工程CCF B，SCI二区)
  6. W. Cheng, Z. Li*, P. Liang, R. Mo, H. Liu, Unveiling Security Weaknesses in Autonomous Driving Systems: An In-Depth Empirical Study, Information and Software Technology, 2025, 182, 107709. (软件工程CCF B，SCI二区)
  7. B. Zhang, P. Liang, X. Zhou, X. Zhou, D. Lo, Q. Feng, Z. Li, L. Li, A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Code Smell Detection, ACM Transactions on Software Engineering and Methodology, 2026, In press. (软件工程CCF A，SCI一区)
  8. R. Li, R. Mo, Y. Zeng, Z. Liu, Z. Li, Y. Ma, A Multi-Dimensional Quality Evaluation of Code Generated by LLM-Based Tools Across Multiple Programming Languages, ACM Transactions on Software Engineering and Methodology, 2026, DOI：https://doi.org/10.1145/3800582. (软件工程CCF A，SCI一区)
  9. R. Li, P. Liang, Y. Wang, Y. Cai, W. Sun, Z. Li, Unveiling the Role of ChatGPT in Software Development: Insights from Developer-ChatGPT Interactions on GitHub, ACM Transactions on Software Engineering and Methodology, 2026, DOI: https://doi.org/10.1145/3798163. (软件工程CCF A，SCI一区)
  10. X. Zhou, R. Li, P. Liang, B. Zhang, M. Shahin, Z. Li, C. Yang, Using LLMs in Generating Design Rationale for Software Architecture Decisions, ACM Transactions on Software Engineering and Methodology, 2025, DOI: https://doi.org/10.1145/3785010. (软件工程CCF A，SCI一区)
  11. Y. Fu, P. Liang, A. Tahir, Z. Li, M. Shahin, J. Yu, Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study, ACM Transactions on Software Engineering and Methodology, 2025, 34(8), Article No.: 218, Pages 1-34. (软件工程CCF A，SCI一区)
  12. R. Mo, D. Wang, W. Zhan, Y. Jiang, Y. Wang, Y. Zhao, Z. Li, Y. Ma, Assessing and Analyzing the Correctness of GitHub Copilot’s Code Suggestions, ACM Transactions on Software Engineering and Methodology, 2025, 34(7), Article No.: 194, Pages 1-32. (软件工程CCF A，SCI一区)
  13. Y. Jiang, R. Mo, W. Zhan, D. Wang, Z. Li, Y. Ma, Leveraging Modular Architecture for Bug Characterization and Analysis in Automated Driving Software, ACM Transactions on Software Engineering and Methodology, 2025, 34(4), Article No.:114, pp. 1-31. (软件工程CCF A，SCI一区)
  14. C. Wu, R. Mo, W. Ding, H. Song, Z. Li, Y. Ma, Exploring and characterizing cross-service defects in microservice projects, Information and Software Technology, 2026, 194, 108063. (软件工程CCF B，SCI二区)
  15. X. Zhou, P. Liang, B. Zhang, Z. Li, A. Ahmad, M. Shahin, M. Waseem, Exploring the Problems, their Causes and Solutions of AI Pair Programming: A Study on GitHub and Stack Overflow, Journal of System and Software, 2025, 219, 112204. (软件工程CCF B，SCI二区)
  16. H. Liu, M. Lü, X. Zhang, Z. Li, G. Chen, Z. Zeng, J. Lü, Optimizing Pinning-Synchronization and Mining Pinned-Nodes of Directed Networks, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025, 55(7), 4600-4613. (IF=8.6，SCI一区)
  17. Z. Li, G. Cai, Q. Yu, P. Liang, R. Mo, H. Liu, Bug Priority Change: An Empirical Study on Apache Projects, Journal of Systems and Software, 2024, 212, 112019. (软件工程CCF B，SCI二区)
  18. Z. Li, J. Ji, P. Liang, R. Mo, H. Liu, An Exploratory Study on Just-in-Time Multi-Programming-Language Bug Prediction, Information and Software Technology, 2024, 175, 107524. (软件工程CCF B，SCI二区)
  19. M.S. Aktar, P. Liang, M. Waseem, A. Tahir, A. Ahmad, B. Zhang, Z. Li, Architecture Decisions in Quantum Software Systems: An Empirical Study on Stack Exchange and GitHub, Information and Software Technology, 2024, 107587. (软件工程CCF B，SCI二区)
  20. M. J. de Dieu, P. Liang, M. Shahin, C. Yang, Z. Li, Mining Architectural Information: A Systematic Mapping Study, Empirical Software Engineering, 2024, 29:79, pp. 1-59. (软件工程CCF B，SCI二区)
  21. R. Mo, Y. Zhang, Y. Wang, S. Zhang, P. Xiong, Z. Li, Y. Zhao, Exploring the Impact of Code Clones on Deep Learning Software, ACM Transactions on Software Engineering and Methodology, 2023, Article No.: 153, pp. 1-34. (软件工程CCF A，SCI一区)
  22. H. Liu, S. Zhang, C.W. Wu, X. Wu, Z. Li, J. Xu, Intralayer Synchronization in Heterogeneous Multiplex Dynamical Networks Based on Spectral Graph Theory, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023, pp. 1-12. (SCI二区)
  23. Z. Li, X. Qi, Q. Yu, P. Liang, R. Mo, C. Yang, Exploring Multi-Programming-Language Commits and Their Impacts on Software Quality: An Empirical Study on Apache Projects, Journal of Systems and Software, 2022, 194, 111508. (软件工程CCF B，SCI二区)
  24. H. Liu, J. Li, Z. Li*, Z. Zeng, J. Lü, Intralayer Synchronization of Multiplex Dynamical Networks via Pinning Impulsive Control, IEEE Transactions on Cybernetics, 2022, 52(4), pp. 2110-2122. (IF=11.8，CCF B类，SCI一区，ESI高被引论文)
  25. R. Mo, S. Wei, Q. Feng, Z. Li, An exploratory study of bug prediction at the method level, Information and Software Technology, 2022, 144, pp. 106794. (软件工程CCF B，SCI二区)
  26. H. Liu, Y. Li, Z. Li, J. Lu, J.-A. Lu, Topology Identification of Multi-link Complex Dynamical Networks via Adaptive Observers Incorporating Chaotic Exosignals, IEEE Transactions on Cybernetics, 2022, 52(7), pp. 6255-6268. (IF=11.8，CCF B类，SCI一区)
  27. C. Cheng, B. Li, Z. Li, P. Liang, X. Yang, An In-depth Study of the Effects of Methods on the Dataset Selection of Public Development Projects, IET Software, 2022, 16(2), pp. 146-166. (软件工程CCF B)
  28. C. Cheng, B. Li, Z. Li, P. Liang, X. Han, J. Zhang, Improving Generality and Accuracy of Existing Public Development Project Selection Methods: A Study on GitHub Ecosystem, Automated Software Engineering, 2022, 29(1), pp. Article 33: 31-43. (软件工程CCF B，SCI二区)
  29. 刘慧, 王炳珺, 陆君安, 李增扬, 复杂网络牵制控制优化选点算法及节点组重要性排序, 物理学报, 2021, 70(5), pp. 056401. (SCI)
  30. S. Shcherban, P. Liang, Z. Li, C. Yang, Multiclass Classification of UML Diagrams from Images Using Deep Learning, International Journal of Software Engineering and Knowledge Engineering, 2021, 31(11&12), pp. 1683-1698. (软件工程CCF C)
  31. H. Liu, J. Chi, Z. Li, Z. Zeng, J. Lü, Parameter Identification of Memristor-based Chaotic Systems Via the Drive-response Synchronization Method, IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, 68(6), pp. 2082-2086. (SCI二区)
  32. H. Liu, J. Xu, Z. Li*, X. Wang, J. Lü, Z. Zeng, Optimizing Synchronizability of Multilayer Networks Based on the Graph Comparison Method, IEEE Transactions on Circuits and Systems I: Regular Papers, 2020, 67(5), pp. 1740-1751. (IF=5.1，SCI一区)
  33. Z. Li, P. Liang, D. Li, R. Mo, B. Li, Is bug severity in line with bug fixing change complexity?, International Journal of Software Engineering and Knowledge Engineering, 2020, 30(11&12), pp. 1779-1800. (软件工程CCF C)
  34. Z. Li, H. Liu, J.-a. Lu, Z. Zeng, J. Lü, Synchronization Regions of Discrete-Time Dynamical Networks with Impulsive Couplings, Information Sciences, 2018, 459, pp. 265-277. (IF=8.1，CCF B，SCI一区)
  35. C. Cheng, B. Li, Z. Li*, Y. Zhao, F. Liao, Developer Role Evolution in Open Source Software Ecosystem: An Explanatory Study on GNOME, Journal of Computer Science and Technology, 2017, 32(2), pp. 396-414. (软件工程CCF B)
  36. R. Yang, B. Li, J. Wang, Z. Li*, Y. Hu, Reusing Service Process Fragments with A Consensus Between Service Providers and Users, Chinese Journal of Electronics, 2016, 25(4), pp. 648-657. (SCI)

会议论文

  1. S. Gao, Z. Wang, Y. Zhao, Z. Li, Enhancing Edge Microservice Deployment Efficiency with an LLM-empowered Multi-Agent Framework, in: Proceedings of the 32nd International Conference on Neural Information Processing (ICONIP ’25), 2025. (软件工程CCF C)
  2. Z. Li, T. Jiang, H. Liu, S. Wang, Sentiment Analysis for Bug Resolution in Multi-language Deep Learning Frameworks, in: Proceedings of the 10th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA’25), 2025, pp. 193-198.
  3. B. Zhang, P. Liang, Q. Feng, Y. Fu, Z. Li, Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot, in: Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE’24), NIER track, ACM, 2024, pp. 2230-2234. (软件工程CCF A，NIER track)
  4. R. Mo, Y. Jiang, W. Zhan, D. Wang, Z. Li, A Comprehensive Study on Code Clones in Automated Driving Software, in: Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE’23), 2023. (软件工程CCF A)
  5. Z. Li, S. Wang, W. Wang, P. Liang, R. Mo, B. Li, Understanding Bugs in Multi-Language Deep Learning Frameworks, in: Proceedings of the 31st International Conference on Program Comprehension (ICPC’23), 2023, pp. 328-338. (软件工程CCF B)
  6. Z. Li, W. Wang, S. Wang, P. Liang, R. Mo, Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects, in: Proceedings of the 17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM’23), 2023, pp. 1-11. (软件工程CCF B)
  7. R. Mo, Y. Wang, Y. Zhang, Z. Li, Just-in-Time Defect Severity Prediction, in: Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering (SEKE’23), 2023, pp. 232-237. (软件工程CCF C)
  8. L. Fu, P. Liang, Z. Rasheed, Z. Li, A. Tahir, X. Han, Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities, in: Proceedings of the 16th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM‘22), 2022, pp. 216-226. (软件工程CCF B)
  9. Z. Li, J. Xu, G. Cai, P. Liang, R. Mo, A Preliminary Study on the Explicitness of Bug Associations, in: Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering (SEKE’22), 2022, pp. 212-215. (软件工程CCF C)
  10. Y. Luo, P. Liang, M. Shahin, Z. Li, C. Yang, Decisions in Continuous Integration and Delivery: An Exploratory Study, in: Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering (SEKE’22), 2022, pp. 457-462. (软件工程CCF C)
  11. S. Wang, H. Liu, Y. Chen, Z. Li*, Ecological Protected Area Evaluation and Site Selection Methods Based on the Saihanba Ecological Model, in: Proceedings of the 14th International Conference on Advanced Computational Intelligence (ICACI’22), 2022, pp. 350-356.
  12. Z. Li, X. Qi, Q. Yu, P. Liang, R. Mo, C. Yang, Multi-Programming-Language Commits in OSS: An Empirical Study on Apache Projects, in: Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension (ICPC’21), 2021, pp. 219-229. (软件工程CCF B)
  13. C. Yang, P. Liang, L. Fu, Z. Li, Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study, in: Proceedings of the 25th International Conference on Evaluation and Assessment in Software Engineering (EASE’21), 2021, pp. 139-148. (软件工程CCF C)
  14. S. Wei, R. Mo, P. Xiong, S. Zhang, Y. Zhao, Z. Li, Predicting and Monitoring Bug-Proneness at the Feature Level, in: Proceedings of the 7th International Symposium on Dependable Software Engineering: Theories, Tools, and Applications (SETTA‘21), 2021, pp. 201-218. (软件工程CCF C)
  15. S. Shcherban, P. Liang, Z. Li, C. Yang, Multiclass Classification of Four Types of UML Diagrams from Images Using Deep Learning, in: Proceedings of the 33th International Conference on Software Engineering and Knowledge Engineering (SEKE’21), 2021, pp. 57-62. (软件工程CCF C)
  16. R. Mo, Y. Zhao, Q. Feng, Z. Li, The Existence and Co-Modifications of Code Clones within and across Microservices, in: Proceedings of the 15th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM’21), 2021, Article 20 (11 pages). (软件工程CCF B)
  17. T. Hu, R. Mo, P. Xiong, Z. Li, Q. Feng, Formal Definition and Automatic Generation of Semantic Metrics: An Empirical Study on Bug Prediction, in: Proceedings of the 21st IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM’21), 2021. (软件工程CCF C)
  18. Z. Li, Q. Yu, P. Liang, R. Mo, C. Yang, Interest of Defect Technical Debt: An Exploratory Study on Apache Projects, in: Proceedings of the 36th IEEE International Conference on Software Maintenance and Evolution (ICSME’20), 2020, pp. 629-639. (软件工程CCF B)
  19. Z. Li, D. Li, P. Liang, R. Mo, An Empirical Investigation on the Relationship Between Bug Severity and Bug Fixing Change Complexity, in: Proceedings of the 32th International Conference on Software Engineering and Knowledge Engineering (SEKE’20), 2020, pp. 365-370. (软件工程CCF C)
  20. X. Li, P. Liang, Z. Li, Automatic Identification of Decisions from the Hibernate Developer Mailing List, in: Proceedings of the 24th International Conference on Evaluation and Assessment in Software Engineering (EASE’20), 2020, pp. 51-60. (软件工程CCF C)
  21. R. Mo, S. Wei, T. Hu, Z. Li, Detecting and Modeling Method-level Hotspots in Architecture Design Flaws, in: Proceedings of the 32th International Conference on Software Engineering and Knowledge Engineering (SEKE’20), 2020, pp. 111-116. (软件工程CCF C)
  22. X. Tang, Z. Wang, J. Qi, Z. Li*, Improving Code Generation From Descriptive Text By Combining Deep Learning and Syntax Rules, in: Proceedings of the 31th International Conference on Software Engineering and Knowledge Engineering (SEKE’19), 2019, pp. 385-390. (软件工程CCF C)
  23. D. Zhang, B. Li, Z. Li*, P. Liang, A Preliminary Investigation of Self-Admitted Refactorings in Open Source Software, in: Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering (SEKE’18), 2018, pp. 165-168. (软件工程CCF C)
  24. C. Cheng, B. Li, Z. Li*, P. Liang, Automatic Detection of Public Development Projects in Large Open Source Ecosystems: An Exploratory Study on GitHub, in: Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering (SEKE’18), 2018, pp. 193-198. (软件工程CCF C)
  25. Z. Li, P. Liang, B. Li, Relating Alternate Modifications to Defect Density in Software Development, in: Proceedings of the 39th International Conference on Software Engineering Companion (ICSE’17), 2017, pp. 308-310. (软件工程CCF A类会议POSTER)
  26. X. He, P. Avgeriou, P. Liang, Z. Li, Technical Debt in MDE: A Case Study on GMF/EMF-Based Projects, in: Proceedings of the ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems (MODELS’16), 2016, pp. 162-172. (软件工程CCF B)
  27. Z. Li, P. Liang, P. Avgeriou, Architectural technical debt identification based on architecture decisions and change scenarios, in: Proceedings of the 12th Working IEEE/IFIP Conference on Software Architecture (WICSA’15), 2015, pp. 65-74. (软件体系结构旗舰国际会议，被引90余次)
  28. M. Shahin, P. Liang, Z. Li, Do Architectural Design Decisions Improve the Understanding of Software Architecture? Two Controlled Experiments, in: Proceedings of the 22nd International Conference on Program Comprehension (ICPC’14), 2014, pp. 3-13. (软件工程CCF B)
  29. Z. Li, P. Liang, P. Avgeriou, N. Guelfi, A. Ampatzoglou, An Empirical Investigation of Modularity Metrics for Indicating Architectural Technical Debt, in: Proceedings of the 10th International Conference on the Quality of Software Architectures (QoSA’14), 2014, pp. 119-128. (软件体系结构旗舰国际会议，被引90余次)
  30. M. Shahin, P. Liang, Z. Li, Recovering Software Architectural Knowledge from Documentation using Conceptual Model, in: Proceeding of the 25th International Conference on Software Engineering and Knowledge Engineering (SEKE’13), 2013, pp. 556-561. (软件工程CCF C)
  31. M. Shahin, P. Liang, Z. Li, Architectural design decision visualization for architecture design: preliminary results of a controlled experiment, Proceedings of the 5th European Conference on Software Architecture: Companion Volume, 2011, pp. 5-12.

著作章节

  1. Z. Li, P. Liang, P. Avgeriou, Architecture viewpoints for documenting architectural technical debt, in: I. Mistrik, R. Soley, N. Ali, J. Grundy, B. Tekinerdogan (Eds.) Software Quality Assurance in Large Scale and Complex Software-intensive Systems, Elsevier, 2015, pp. 85-132. (Elsevier出版英文书章节)
  2. Z. Li, P. Liang, P. Avgeriou, Architectural debt management in value-oriented architecting, in: I. Mistrik, R. Bahsoon, R. Kazman, Y. Zhang (Eds.) Economics-Driven Software Architecture, Elsevier, 2014, pp. 183-204. (Elsevier出版英文书章节，被引90余次)