Shengyi Jiang

2.3k citations
100 papers · 1.4k · h-index 18

Impact in

Papers in

    • Topic Modeling 22
    • Natural Language Processing Techniques 20
    • Text and Document Classification Technologies 14
    • Anomaly Detection Techniques and Applications 9
    • Fuzzy Logic and Control Systems 9

Shengyi Jiang

85 papers receiving 1.3k citations

Peers

Shengyi Jiang
Comparison fields: 5 of 136
  • Management Science and Operations Research 329
  • Artificial Intelligence 790
  • Statistics and Probability 183
  • Health Informatics 18
  • Information Systems 230
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Citations per field
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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 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011241
2 2008190
3 2010122
4 2006101
5 201880
6 202171
7 201552
8 200851
9 202344
10 202130
11 201825
12 200924
13 201023
14 201422
15 202319
16 202219
17 200819
18 201218
19 202117
20 200816

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 100 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (20 papers), Text and Document Classification Technologies (14 papers), Multi-Criteria Decision Making (10 papers), Anomaly Detection Techniques and Applications (9 papers), Fuzzy Logic and Control Systems (9 papers), Network Security and Intrusion Detection (8 papers) and Rough Sets and Fuzzy Logic (7 papers). The work is most often cited by research in Management Science and Operations Research (329 citations), Artificial Intelligence (790 citations), Statistics and Probability (183 citations), Health Informatics (18 citations) and Information Systems (230 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, Siyu Jiang, Qinghua Li, Xiaoyu Song, Hui Wang and Jian-Jun Han. Their work appears in journals such as Expert Systems with Applications, IEEE/ACM Transactions on Audio Speech and Language Processing, Information Sciences, Connection Science and Data Intelligence.

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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