Jun Liu

10.2k citations
427 papers · 6.7k · 1 hit paper · h-index 43

Impact in

Papers in

Jun Liu

371 papers receiving 6.5k citations

Jun Liu's Hit Papers

Belief rule-base inference methodology using the evidential reasoning Approach-RIMER 2006 · 608 citations
6080+6+13Years since publication200400600

Peers

Jun Liu
Comparison fields: 5 of 197
  • Management Science and Operations Research 2.0k
  • Computational Theory and Mathematics 1.3k
  • Artificial Intelligence 2.0k
  • Statistics, Probability and Uncertainty 394
  • Organizational Behavior and Human Resource Management 506
Replace Yi Peng with:
Yi Peng China
Pãnos M. Pardalos United States
Da Ruan Belgium
Yong Shi China
Francisco Javier Cabrerizo Spain
Bernard Roy France
Guangquan Zhang Australia
Mohamed Abdel‐Basset Egypt
Ching‐Hsue Cheng Taiwan
Bo Yuan China
Jun Liu relative to Yi Peng China Yi Peng's profile →
Citations per field
00.5×1.5×2.1×
Yi Peng · 1×
Citations per year

Countries citing papers authored by Jun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 427 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Belief rule-base inference methodology using the evidential reasoning Approach-RIMER
Hit paper breakdown →
2006608
2 2005241
3 2003216
4 2007214
5 2007197
6 2010186
7 2011176
8 2006125
9 2017123
10 2017118
11 2013112
12 2004103
13 2011103
14 200593
15 200381
16 201180
17 202076
18 201476
19 201472
20 201668

About Jun Liu

Jun Liu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Information Systems and Computer Vision and Pattern Recognition, having authored 427 papers that have together received 6.7k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (74 papers), Rough Sets and Fuzzy Logic (71 papers), Advanced Algebra and Logic (35 papers), Logic, Reasoning, and Knowledge (33 papers), Bayesian Modeling and Causal Inference (27 papers), Fuzzy Logic and Control Systems (22 papers), Context-Aware Activity Recognition Systems (19 papers) and Risk and Safety Analysis (17 papers). The work is most often cited by research in Management Science and Operations Research (2.0k citations), Computational Theory and Mathematics (1.3k citations), Artificial Intelligence (2.0k citations), Statistics, Probability and Uncertainty (394 citations) and Organizational Behavior and Human Resource Management (506 citations). Jun Liu has collaborated with scholars based in China, United Kingdom and Spain. Frequent co-authors include Luis Martı́nez, Jianbo Yang, Hui Wang, Hongwei Wang, Da Ruan, Jin Wang, H. S. Sii, Randall Sadler, Jian-Bo Yang and Dong‐Ling Xu. Their work appears in journals such as International Journal of Computational Intelligence Systems, Information Sciences, Knowledge-Based Systems, Soft Computing and Applied Soft Computing.

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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