Zuohua Ding

1.6k total citations
129 papers, 1.0k citations indexed

About

Zuohua Ding is a scholar working on Artificial Intelligence, Software and Information Systems. According to data from OpenAlex, Zuohua Ding has authored 129 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 46 papers in Software and 41 papers in Information Systems. Recurrent topics in Zuohua Ding's work include Software Testing and Debugging Techniques (31 papers), Software Reliability and Analysis Research (31 papers) and Software Engineering Research (23 papers). Zuohua Ding is often cited by papers focused on Software Testing and Debugging Techniques (31 papers), Software Reliability and Analysis Research (31 papers) and Software Engineering Research (23 papers). Zuohua Ding collaborates with scholars based in China, United States and Singapore. Zuohua Ding's co-authors include Yuan Zhou, MengChu Zhou, Mingyue Jiang, Lan Jiang, Yang Liu, Hesuan Hu, Ting Shu, Tsong Yueh Chen, Shang‐Wei Lin and Jing Liu and has published in prestigious journals such as Automatica, Expert Systems with Applications and IEEE Access.

In The Last Decade

Zuohua Ding

113 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Zuohua Ding China	16	320	270	267	267	188	129	1.0k
Gigliola Vaglini Italy	20	302 0.9×	141 0.5×	360 1.3×	189 0.7×	187 1.0×	74	1.0k
Janusz Zalewski United States	14	316 1.0×	336 1.2×	193 0.7×	228 0.9×	170 0.9×	140	1.1k
Yuan Zhou China	22	316 1.0×	150 0.6×	383 1.4×	56 0.2×	170 0.9×	137	1.5k
Patrizia Scandurra Italy	15	471 1.5×	348 1.3×	354 1.3×	336 1.3×	159 0.8×	91	933
Nazir Ahmad Zafar Pakistan	17	183 0.6×	178 0.7×	374 1.4×	139 0.5×	138 0.7×	121	884
Stefan Kowalewski Germany	18	371 1.2×	281 1.0×	245 0.9×	516 1.9×	385 2.0×	172	1.4k
Sandeep Neema United States	22	517 1.6×	384 1.4×	480 1.8×	484 1.8×	199 1.1×	99	1.4k
Bestoun S. Ahmed Sweden	22	457 1.4×	366 1.4×	347 1.3×	631 2.4×	81 0.4×	69	1.5k
Klaus Kabitzsch Germany	19	251 0.8×	176 0.7×	433 1.6×	67 0.3×	136 0.7×	134	1.3k
Nicola Mazzocca Italy	21	420 1.3×	569 2.1×	753 2.8×	168 0.6×	123 0.7×	181	1.7k

Countries citing papers authored by Zuohua Ding

Since Specialization

Citations

This map shows the geographic impact of Zuohua Ding's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zuohua Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zuohua Ding more than expected).

Fields of papers citing papers by Zuohua Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zuohua Ding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zuohua Ding. The network helps show where Zuohua Ding may publish in the future.

Co-authorship network of co-authors of Zuohua Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Zuohua Ding. A scholar is included among the top collaborators of Zuohua Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zuohua Ding. Zuohua Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shu, Ting, et al.. (2024). Resource scheduling optimization for industrial operating system using deep reinforcement learning and WOA algorithm. Expert Systems with Applications. 255. 124765–124765. 14 indexed citations

Huang, Kai, et al.. (2024). A fine-grained approach for Android taint analysis based on labeled taint value graphs. Computers & Security. 148. 104162–104162.

Wu, Fenghua, et al.. (2024). Causal deconfounding deep reinforcement learning for mobile robot motion planning. Knowledge-Based Systems. 303. 112406–112406. 5 indexed citations

Zheng, Yaowen, et al.. (2024). An empirical study of attack-related events in DeFi projects development. Empirical Software Engineering. 29(2). 3 indexed citations

Liu, Mei, et al.. (2024). PEM: A Medical Named Entity Recognition Method Based on Proximity Enhancement. 1–8.

Shu, Ting, et al.. (2024). A Novel Improved Whale Optimization Algorithm for Global Optimization and Engineering Applications. Mathematics. 12(5). 636–636. 13 indexed citations

Wang, Xiaolei, et al.. (2024). NBWAB: A Model for Text Sentiment Analysis With BERT and ChatGPT. 1–8.

Ding, Zuohua, et al.. (2024). Cross-Modal Sentiment Analysis Based on CLIP Image-Text Attention Interaction. International Journal of Advanced Computer Science and Applications. 15(2). 1 indexed citations

Jiang, Mingyue, et al.. (2023). Towards an understanding of intra-defect associations: Implications for defect prediction. Journal of Systems and Software. 207. 111858–111858.

10.

Zhou, Yuan, Hesuan Hu, Gelei Deng, et al.. (2023). Distributed Motion Control for Multiple Mobile Robots Using Discrete-Event Systems and Model Predictive Control. IEEE Transactions on Systems Man and Cybernetics Systems. 54(2). 997–1010. 4 indexed citations

11.

Hou, Jian, et al.. (2023). Privacy-preserving Resilient Consensus for Multi-agent Systems in a General Topology Structure. ACM Transactions on Privacy and Security. 26(3). 1–22. 4 indexed citations

12.

Jiang, Mingyue, et al.. (2023). The Impact of Text Generation Techniques on Neural Image Captioning: An Empirical Study. International Journal of Advanced Computer Science and Applications. 14(10). 2 indexed citations

13.

Ding, Zuohua, et al.. (2023). Metamorphic Testing of Relation Extraction Models. Algorithms. 16(2). 102–102. 2 indexed citations

14.

Jiang, Mingyue, et al.. (2020). Fault Localization With Weighted Test Model in Model Transformations. IEEE Access. 8. 14054–14064. 8 indexed citations

15.

Ding, Zuohua, et al.. (2014). Locating Software Faults Based on Control Flow and Data Dependence. Journal of Computers. 9(12). 2797–2803.

16.

Jiang, Mingyue, Tsong Yueh Chen, Fei‐Ching Kuo, Zhi Quan Zhou, & Zuohua Ding. (2014). Testing model transformation programs using metamorphic testing. Swinburne Research Bank (Swinburne University of Technology). 94–99. 8 indexed citations

17.

Liu, Ziwei, Jing Liu, Jifeng He, & Zuohua Ding. (2012). Spatio-temporal UML Statechart for Cyber-Physical Systems. 137–146. 5 indexed citations

18.

Jiang, Mingyue & Zuohua Ding. (2011). Automation of test case generation from textual use cases. International Conference on Information Systems. 102–107. 2 indexed citations

19.

Liu, Jing, et al.. (2011). Modeling and Prototyping Business Processes in AutoPA. 169–176. 3 indexed citations

20.

Ding, Zuohua, et al.. (2008). Test Case Generation of Concurrent Programs Based On Event Graph. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 1117–1120. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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