Jinfu Chen

2.3k total citations · 1 hit paper
145 papers, 1.6k citations indexed

About

Jinfu Chen is a scholar working on Software, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Jinfu Chen has authored 145 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Software, 74 papers in Information Systems and 50 papers in Computer Networks and Communications. Recurrent topics in Jinfu Chen's work include Software Reliability and Analysis Research (78 papers), Software Testing and Debugging Techniques (72 papers) and Software Engineering Research (54 papers). Jinfu Chen is often cited by papers focused on Software Reliability and Analysis Research (78 papers), Software Testing and Debugging Techniques (72 papers) and Software Engineering Research (54 papers). Jinfu Chen collaborates with scholars based in China, Australia and Ghana. Jinfu Chen's co-authors include Yongzhao Zhan, Jianping Gou, Lan Du, Xiang‐Jun Shen, Min Wan, Rubing Huang, Dave Towey, Chengying Mao, Saihua Cai and Tsong Yueh Chen and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

Jinfu Chen

129 papers receiving 1.6k citations

Hit Papers

Maximum Neighborhood Margin Discriminant Projection for C... 2014 2026 2018 2022 2014 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Maximum Neighborhood Margin Discriminant Projection for Classification
    2014 615 citations Jianping Gou, Yongzhao Zhan et al. The Scientific World JOURNAL profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinfu Chen China 17 559 530 418 282 217 145 1.6k
Chen Fu China 23 599 1.1× 1.0k 1.9× 420 1.0× 448 1.6× 190 0.9× 83 1.8k
Xusheng Xiao United States 25 562 1.0× 1.3k 2.4× 781 1.9× 536 1.9× 933 4.3× 75 2.6k
Wenchao Li China 27 110 0.2× 174 0.3× 320 0.8× 498 1.8× 267 1.2× 140 2.4k
Shihai Wang China 17 358 0.6× 377 0.7× 129 0.3× 282 1.0× 31 0.1× 85 897
Lu Lu China 18 288 0.5× 369 0.7× 207 0.5× 172 0.6× 97 0.4× 97 1.0k
Goutam Saha India 17 89 0.2× 162 0.3× 334 0.8× 203 0.7× 28 0.1× 155 995
Md. Nasir Sulaiman Malaysia 19 39 0.1× 341 0.6× 382 0.9× 513 1.8× 167 0.8× 138 1.5k
Tongxin Li China 18 50 0.1× 180 0.3× 157 0.4× 175 0.6× 206 0.9× 92 1.1k
Chandrasegar Thirumalai India 17 53 0.1× 313 0.6× 167 0.4× 808 2.9× 112 0.5× 37 1.8k
Ishaani Priyadarshini United States 23 41 0.1× 281 0.5× 399 1.0× 513 1.8× 201 0.9× 59 1.5k

Countries citing papers authored by Jinfu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jinfu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinfu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jinfu Chen. A scholar is included among the top collaborators of Jinfu Chen 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 Jinfu Chen. Jinfu Chen 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.
Chen, Jinfu, et al.. (2025). RAGN: Detecting unknown malicious network traffic using a robust adaptive graph neural network. Computer Networks. 262. 111184–111184. 4 indexed citations
2.
Cai, Saihua, et al.. (2025). GSA-DT: A Malicious Traffic Detection Model Based on Graph Self-Attention Network and Decision Tree. IEEE Transactions on Network and Service Management. 22(2). 2059–2073. 2 indexed citations
3.
Cai, Saihua, et al.. (2025). MTD-FRD: Malicious traffic detection method based on feature representation and conditional diffusion model. Journal of Network and Computer Applications. 242. 104256–104256. 1 indexed citations
4.
Chen, Jinfu, et al.. (2025). BiRNN-SA: Context-aware malicious network traffic detection using self-attentive bidirectional RNNs. Computer Networks. 272. 111658–111658.
5.
Chen, Jinfu, et al.. (2024). GCN-MHSA: A novel malicious traffic detection method based on graph convolutional neural network and multi-head self-attention mechanism. Computers & Security. 147. 104083–104083. 8 indexed citations
6.
Chen, Jinfu, et al.. (2024). iGnnVD: A novel software vulnerability detection model based on integrated graph neural networks. Science of Computer Programming. 238. 103156–103156. 2 indexed citations
7.
Chen, Jinfu, et al.. (2024). Exploiting DBSCAN and Combination Strategy to Prioritize the Test Suite in Regression Testing. IET Software. 2024(1). 1 indexed citations
8.
Chen, Jinfu, et al.. (2024). A novel defect prediction method based on semantic feature enhancement. Journal of Software Evolution and Process. 36(9). 1 indexed citations
9.
10.
Chen, Jinfu, et al.. (2024). DCM-GIFT: An Android malware dynamic classification method based on gray-scale image and feature-selection tree. Information and Software Technology. 176. 107560–107560. 7 indexed citations
11.
Chen, Jinfu, et al.. (2024). L′OP-ART: A linear-time adaptive random testing algorithm for object-oriented programs. Journal of Systems and Software. 211. 111970–111970.
12.
13.
Chen, Jinfu, et al.. (2020). An empirical comparison of commercial and open‐source web vulnerability scanners. Software Practice and Experience. 50(9). 1842–1857. 34 indexed citations
14.
Chen, Jinfu, et al.. (2019). A Taxonomic Review of Adaptive Random Testing for Numeric Programs. arXiv (Cornell University).
15.
Chen, Jinfu, et al.. (2019). One-Domain-One-Input: Adaptive Random Testing by Orthogonal Recursive Bisection With Restriction. IEEE Transactions on Reliability. 68(4). 1404–1428. 10 indexed citations
16.
Huang, Rubing, et al.. (2018). Prioritising abstract test cases: an empirical study. IET Software. 13(4). 313–326. 2 indexed citations
17.
Gou, Jianping, Yongzhao Zhan, Min Wan, et al.. (2014). Maximum Neighborhood Margin Discriminant Projection for Classification. The Scientific World JOURNAL. 2014. 1–16. 615 indexed citations breakdown →
18.
Huang, Rubing, et al.. (2014). How to Do Tie-breaking in Prioritization of Interaction Test Suites?.. Software Engineering and Knowledge Engineering. 121–125. 7 indexed citations
19.
Chen, Jinfu, et al.. (2013). An Approach of Vulnerability Testing for Third‐Party Component Based on Condition and Parameter Mutation. The Scientific World JOURNAL. 2013(1). 609254–609254. 1 indexed citations
20.
Luo, Gang, et al.. (2012). Fast calculation of available transfer capability in bulk interconnected grid. 1–8. 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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