He Jiang

3.1k total citations
161 papers, 1.8k citations indexed

About

He Jiang is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, He Jiang has authored 161 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Information Systems, 53 papers in Software and 47 papers in Artificial Intelligence. Recurrent topics in He Jiang's work include Software Engineering Research (76 papers), Software Testing and Debugging Techniques (43 papers) and Software Reliability and Analysis Research (28 papers). He Jiang is often cited by papers focused on Software Engineering Research (76 papers), Software Testing and Debugging Techniques (43 papers) and Software Reliability and Analysis Research (28 papers). He Jiang collaborates with scholars based in China, United States and Singapore. He Jiang's co-authors include Zhilei Ren, Jifeng Xuan, Xiaochen Li, Tao Zhang, Weiqin Zou, Zhongxuan Luo, Xindong Wu, Youxi Wu, Yan Hu and Xin Chen and has published in prestigious journals such as IEEE Access, International Journal of Computer Vision and IEEE Transactions on Software Engineering.

In The Last Decade

He Jiang

141 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
He Jiang China 25 1.3k 634 618 378 330 161 1.8k
Guozhu Meng China 21 844 0.7× 439 0.7× 601 1.0× 556 1.5× 833 2.5× 48 1.6k
Doo‐Hwan Bae South Korea 21 978 0.8× 400 0.6× 946 1.5× 347 0.9× 179 0.5× 164 1.6k
Dayang N. A. Jawawi Malaysia 18 989 0.8× 500 0.8× 631 1.0× 426 1.1× 43 0.1× 154 1.7k
Abdelwahab Hamou‐Lhadj Canada 23 1.1k 0.9× 623 1.0× 659 1.1× 926 2.4× 410 1.2× 140 1.7k
Arvinder Kaur India 23 1.3k 1.1× 450 0.7× 1.2k 1.9× 580 1.5× 161 0.5× 145 2.0k
Fei‐Ching Kuo Australia 25 1.3k 1.0× 472 0.7× 2.2k 3.6× 497 1.3× 346 1.0× 83 2.7k
Bing Xie China 22 1.2k 0.9× 542 0.9× 546 0.9× 812 2.1× 291 0.9× 90 2.0k
Shiva Nejati Luxembourg 25 868 0.7× 756 1.2× 1.1k 1.9× 355 0.9× 58 0.2× 86 1.9k
Yulei Sui Australia 27 1.3k 1.0× 1.0k 1.6× 1.1k 1.7× 580 1.5× 1.0k 3.1× 120 2.3k
Jitender Kumar Chhabra India 21 782 0.6× 699 1.1× 503 0.8× 298 0.8× 67 0.2× 95 1.5k

Countries citing papers authored by He Jiang

Since Specialization
Citations

This map shows the geographic impact of He Jiang'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 He Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Jiang more than expected).

Fields of papers citing papers by He Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by He Jiang. 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 He Jiang. The network helps show where He Jiang may publish in the future.

Co-authorship network of co-authors of He Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of He Jiang. A scholar is included among the top collaborators of He Jiang 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 He Jiang. He Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Guo, Shikai, et al.. (2025). A Novel HDL Code Generator for Effectively Testing FPGA Logic Synthesis Compilers. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(11). 4405–4418.
2.
Guo, Shikai, et al.. (2024). SIMTAM: Generation Diversity Test Programs for FPGA Simulation Tools Testing Via Timing Area Mutation. ACM Transactions on Design Automation of Electronic Systems. 30(2). 1–25. 1 indexed citations
3.
Jiang, Lingxiao, et al.. (2024). Concretely Mapped Symbolic Memory Locations for Memory Error Detection. IEEE Transactions on Software Engineering. 50(7). 1747–1767.
4.
Guo, Shikai, Yulong Li, Rong Chen, et al.. (2024). Analyzing and Detecting Information Types of Developer Live Chat Threads. ACM Transactions on Software Engineering and Methodology. 33(5). 1–32. 1 indexed citations
5.
Jiang, He, et al.. (2024). A Testing Program and Pragma Combination Selection Based Framework for High-Level Synthesis Tool Pragma-Related Bug Detection. IEEE Transactions on Software Engineering. 50(4). 937–955. 1 indexed citations
6.
Jiang, He, et al.. (2023). Latency-Based Inter-Operator Scheduling for CNN Inference Acceleration on GPU. IEEE Transactions on Services Computing. 17(1). 277–290. 1 indexed citations
7.
Yang, Lu, He Jiang, Qing Song, & Jun Guo. (2022). A Survey on Long-Tailed Visual Recognition. International Journal of Computer Vision. 130(7). 1837–1872. 81 indexed citations
8.
Ren, Zhilei, Changlin Liu, Xusheng Xiao, He Jiang, & Tao Xie. (2019). Root Cause Localization for Unreproducible Builds via Causality Analysis Over System Call Tracing. 527–538. 26 indexed citations
9.
Zhang, Jingxuan, He Jiang, Zhilei Ren, Tao Zhang, & Zhiqiu Huang. (2019). Enriching API Documentation with Code Samples and Usage Scenarios from Crowd Knowledge. IEEE Transactions on Software Engineering. 47(6). 1299–1314. 22 indexed citations
10.
Jiang, He, Xiaochen Li, Zhilei Ren, Jifeng Xuan, & Zhi Jin. (2018). Toward Better Summarizing Bug Reports With Crowdsourcing Elicited Attributes. IEEE Transactions on Reliability. 68(1). 2–22. 24 indexed citations
11.
Jiang, He, Yangqiu Song, Chenguang Wang, Ming Zhang, & Yizhou Sun. (2017). Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks. e+i Elektrotechnik und Informationstechnik. 1944–1950. 2 indexed citations
12.
Jiang, He, Jingxuan Zhang, Zhilei Ren, & Tao Zhang. (2017). An Unsupervised Approach for Discovering Relevant Tutorial Fragments for APIs. 38–48. 46 indexed citations
13.
Zhang, Tao, Jiachi Chen, He Jiang, Xiapu Luo, & Xin Xia. (2017). Bug Report Enrichment with Application of Automated Fixer Recommendation. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 230–240. 36 indexed citations
14.
Chen, Dan, et al.. (2015). Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations
15.
Hu, Yan, Jun Yan, Jian Zhang, & He Jiang. (2013). Profile directed systematic testing of concurrent programs. 47–52. 2 indexed citations
16.
Xuan, Jifeng, He Jiang, Zhilei Ren, & Weiqin Zou. (2012). Developer prioritization in bug repositories. 25–35. 79 indexed citations
17.
Jiang, He, Wei Ding, Moonis Ali, & Xindong Wu. (2012). Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence. 1 indexed citations
18.
Chen, Xin, Zhenzhen Xu, György Dósa, Xin Han, & He Jiang. (2012). Semi-online hierarchical scheduling problems with buffer or rearrangements. Information Processing Letters. 113(4). 127–131. 11 indexed citations
19.
Jiang, He. (2010). Construction of Ontology-based knowledge in education. Microcomputer applications. 1 indexed citations
20.
Jiang, He. (2009). Smartcar road status recognition based on fuzzy control. Computer Engineering and Applications Journal.

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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