Guangming Lang

33 papers receiving 1.1k citations

Peers

Guangming Lang
Comparison fields: 5 of 62
  • Computational Theory and Mathematics 922
  • Management Science and Operations Research 550
  • Information Systems 378
  • Signal Processing 161
  • Artificial Intelligence 468
Replace Keyun Qin with:
Keyun Qin China
Wei-Zhi Wu China
Jesús Medina Spain
Tareq M. Al-shami Yemen
Nouman Azam Canada
Lech Polkowski Poland
Yanhong She China
Xiaoyan Zhang China
Alexander Rybalov United States
Thomas Sudkamp United States
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Citations per year

Countries citing papers authored by Guangming Lang

Since Specialization
Citations

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

Fields of papers citing papers by Guangming Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Guangming Lang, 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 Guangming Lang Line = papers co-authored together Guangming Lang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019195
2 2017157
3 202069
4 202067
5 201861
6 202049
7 202146
8 201641
9 202040
10 202240
11 201538
12 202238
13 201734
14 201933
15 201429
16 201320
17 201620
18 201916
19 202116
20 201913

About Guangming Lang

Guangming Lang is a scholar working on Computational Theory and Mathematics, Information Systems, Artificial Intelligence, Management Science and Operations Research and Signal Processing, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (31 papers), Data Mining Algorithms and Applications (14 papers), Multi-Criteria Decision Making (12 papers), Data Management and Algorithms (6 papers), Advanced Algebra and Logic (5 papers), Bayesian Modeling and Causal Inference (4 papers), Semantic Web and Ontologies (2 papers) and AI-based Problem Solving and Planning (2 papers). The work is most often cited by research in Computational Theory and Mathematics (922 citations), Management Science and Operations Research (550 citations), Information Systems (378 citations), Signal Processing (161 citations) and Artificial Intelligence (468 citations). Guangming Lang has collaborated with scholars based in China, Canada and Japan. Frequent co-authors include Duoqian Miao, Mingjie Cai, Hamido Fujita, Yiyu Yao, Qingguo Li, Tian Yang, Qimei Xiao, Xiaonan Li, Huangjian Yi and Zhifei Zhang. Their work appears in journals such as Knowledge-Based Systems, International Journal of Approximate Reasoning, International Journal of Machine Learning and Cybernetics, Information Sciences 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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