Xiangjun Kong
Impact in
- Building and Construction top 10%
- Dyeing and Modifying Textile Fibers
Papers in
-
- semigroups and automata theory 9
- Advanced Algebra and Logic 7
- Computational Drug Discovery Methods 4
-
- Phase Equilibria and Thermodynamics 5
- Co-authors
- Hu Y (16 shared papers)Jinxin Lin (4 shared papers)Hongsheng Cui (4 shared papers)Tingting Huang (4 shared papers)Ning Wang (3 shared papers)Peter E. Lobie (1 shared paper)Chunying Chen (1 shared paper)Tao Zhu (1 shared paper)
- Journals
- Semigroup Forum (5 papers)Human Vaccines & Immunotherapeutics (4 papers)Information Sciences (3 papers)Expert Opinion on Therapeutic Patents (3 papers)Applied Intelligence (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Xiangjun Kong
93 papers receiving 947 citations
Peers
Comparison fields: 5 of 142
- Building and Construction 81
- Biotechnology 46
- Polymers and Plastics 60
- Renewable Energy, Sustainability and the Environment 67
- Computer Vision and Pattern Recognition 81
Countries citing papers authored by Xiangjun Kong
This map shows the geographic impact of Xiangjun Kong'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 Xiangjun Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangjun Kong more than expected).
Fields of papers citing papers by Xiangjun Kong
This network shows the impact of papers produced by Xiangjun Kong. 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 Xiangjun Kong. The network helps show where Xiangjun Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiangjun Kong, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 70 | |
| 2 | 2021 | 65 | |
| 3 | 2016 | 48 | |
| 4 | 2023 | 35 | |
| 5 | 2019 | 35 | |
| 6 | 2015 | 33 | |
| 7 | 2022 | 30 | |
| 8 | 2014 | 29 | |
| 9 | 2023 | 27 | |
| 10 | 2023 | 24 | |
| 11 | 2023 | 22 | |
| 12 | 2017 | 22 | |
| 13 | 2022 | 22 | |
| 14 | 2021 | 21 | |
| 15 | 2022 | 19 | |
| 16 | 2016 | 19 | |
| 17 | 2021 | 17 | |
| 18 | 2014 | 17 | |
| 19 | 2019 | 17 | |
| 20 | 2021 | 17 |
About Xiangjun Kong
Xiangjun Kong is a scholar working on Computational Theory and Mathematics, Biomedical Engineering, Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, having authored 99 papers that have together received 957 indexed citations. Recurring topics across this work include semigroups and automata theory (9 papers), Advanced Algebra and Logic (7 papers), Fuzzy and Soft Set Theory (7 papers), Face and Expression Recognition (6 papers), Phase Equilibria and Thermodynamics (5 papers), Carbon Dioxide Capture Technologies (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Building and Construction (81 citations), Biotechnology (46 citations), Polymers and Plastics (60 citations), Renewable Energy, Sustainability and the Environment (67 citations) and Computer Vision and Pattern Recognition (81 citations). Xiangjun Kong has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Hu Y, Jinxin Lin, Hongsheng Cui, Tingting Huang, Ning Wang, Peter E. Lobie, Chunying Chen, Tao Zhu, Ying Liu and Xuefei Lu. Their work appears in journals such as Semigroup Forum, Human Vaccines & Immunotherapeutics, Information Sciences, Expert Opinion on Therapeutic Patents and Applied 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.