Guangming Lang
Impact in
- Computational Theory and Mathematics top 0.5%
- Rough Sets and Fuzzy Logic
- Advanced Algebra and Logic
-
- Multi-Criteria Decision Making
Papers in
-
- Rough Sets and Fuzzy Logic 31
- Advanced Algebra and Logic 5
-
- Data Mining Algorithms and Applications 14
- Co-authors
- Duoqian Miao (6 shared papers)Mingjie Cai (10 shared papers)Hamido Fujita (5 shared papers)Yiyu Yao (4 shared papers)Qingguo Li (9 shared papers)Tian Yang (8 shared papers)Qimei Xiao (4 shared papers)Xiaonan Li (1 shared paper)
In The Last Decade
Guangming Lang
33 papers receiving 1.1k citations
Peers
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
Countries citing papers authored by Guangming Lang
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
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.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 195 | |
| 2 | 2017 | 157 | |
| 3 | 2020 | 69 | |
| 4 | 2020 | 67 | |
| 5 | 2018 | 61 | |
| 6 | 2020 | 49 | |
| 7 | 2021 | 46 | |
| 8 | 2016 | 41 | |
| 9 | 2020 | 40 | |
| 10 | 2022 | 40 | |
| 11 | 2015 | 38 | |
| 12 | 2022 | 38 | |
| 13 | 2017 | 34 | |
| 14 | 2019 | 33 | |
| 15 | 2014 | 29 | |
| 16 | 2013 | 20 | |
| 17 | 2016 | 20 | |
| 18 | 2019 | 16 | |
| 19 | 2021 | 16 | |
| 20 | 2019 | 13 |
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.