Jinhai Li

121 papers receiving 3.7k citations

Jinhai Li's Hit Papers

Three-way cognitive concept learning via multi-granularity 2016 · 320 citations
3200+3+6Years since publication100200300

Peers

Jinhai Li
Comparison fields: 5 of 115
  • Computational Theory and Mathematics 3.0k
  • Management Science and Operations Research 845
  • Artificial Intelligence 2.1k
  • Information Systems 1.4k
  • Signal Processing 498
Replace Xibei Yang with:
Xibei Yang China
Jerzy W. Grzymala‐Busse United States
Ju‐Sheng Mi China
Fan Min China
Wojciech Ziarko Canada
Dun Liu China
Xianzhong Zhou China
Degang Chen China
Wei-Zhi Wu China
Wen‐Xiu Zhang China
Jinhai Li relative to Xibei Yang China Xibei Yang's profile →
Citations per field
00.5×1.5×
Xibei Yang · 1×
Citations per year

Countries citing papers authored by Jinhai Li

Since Specialization
Citations

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

Fields of papers citing papers by Jinhai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jinhai Li, 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 Jinhai Li Line = papers co-authored together Jinhai Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Three-way cognitive concept learning via multi-granularity
Hit paper breakdown →
2016320
2
Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy
Hit paper breakdown →
2016278
3 2014258
4 2012222
5 2015151
6 2011128
7 2019120
8 2017105
9 201796
10 201191
11 201375
12 201674
13 202074
14 201464
15 201864
16 201663
17 201160
18 201560
19 201559
20 201756

About Jinhai Li

Jinhai Li is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Information Systems, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 130 papers that have together received 3.7k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (88 papers), Data Mining Algorithms and Applications (31 papers), Multi-Criteria Decision Making (21 papers), Cognitive Computing and Networks (16 papers), Image Retrieval and Classification Techniques (14 papers), Data Management and Algorithms (13 papers), Advanced Computational Techniques and Applications (12 papers) and Semantic Web and Ontologies (11 papers). The work is most often cited by research in Computational Theory and Mathematics (3.0k citations), Management Science and Operations Research (845 citations), Artificial Intelligence (2.1k citations), Information Systems (1.4k citations) and Signal Processing (498 citations). Jinhai Li has collaborated with scholars based in China, India and United Kingdom. Frequent co-authors include Changlin Mei, LV Yue-jin, Yuhua Qian, Wenqi Liu, Degang Chen, Chenchen Huang, Weihua Xu, Huilai Zhi, Jianjun Qi and Yunlong Mi. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Information Sciences, International Journal of Approximate Reasoning, Knowledge-Based Systems and IEEE Transactions on Fuzzy Systems.

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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