Shengyi Jiang

2.2k citations
102 papers · 1.4k · h-index 18

Impact in

Papers in

    • Topic Modeling 23
    • Natural Language Processing Techniques 21
    • Text and Document Classification Technologies 14
    • Fuzzy Logic and Control Systems 9
    • Anomaly Detection Techniques and Applications 8

Shengyi Jiang

85 papers receiving 1.3k citations

Peers

Shengyi Jiang
Comparison fields: 5 of 137
  • Management Science and Operations Research 327
  • Artificial Intelligence 780
  • Statistics and Probability 182
  • Health Informatics 16
  • Information Systems 228
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Citations per year

Countries citing papers authored by Shengyi Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shengyi Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shengyi Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shengyi Jiang Line = papers co-authored together Shengyi Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011239
2 2008185
3 2010123
4 2006101
5 201878
6 202165
7 201552
8 200851
9 202339
10 202126
11 201824
12 201023
13 200923
14 201421
15 200819
16 202318
17 201217
18 202217
19 202116
20 200815

About Shengyi Jiang

Shengyi Jiang is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Management Science and Operations Research, having authored 102 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Natural Language Processing Techniques (21 papers), Text and Document Classification Technologies (14 papers), Multi-Criteria Decision Making (10 papers), Fuzzy Logic and Control Systems (9 papers), Network Security and Intrusion Detection (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Artificial Immune Systems Applications (7 papers). The work is most often cited by research in Management Science and Operations Research (327 citations), Artificial Intelligence (780 citations), Statistics and Probability (182 citations), Health Informatics (16 citations) and Information Systems (228 citations). Shengyi Jiang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qiansheng Zhang, Guansong Pang, Limin Kuang, Baoguo Jia, Shihua Luo, Qinghua Li, Siyu Jiang, Huiyun Zhang, Kun He and Hui Wang. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Expert Systems with Applications, Information Sciences, Journal of Intelligent & Fuzzy Systems and Connection Science.

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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