Kai Ma
Impact in
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- Geographic Information Systems Studies
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Geochemistry and Geologic Mapping
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
Papers in
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- Topic Modeling 18
- Semantic Web and Ontologies 12
- Natural Language Processing Techniques 12
- Geochemistry and Geologic Mapping 8
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- Geographic Information Systems Studies 15
- Co-authors
- Zhong Xie (29 shared papers)Qinjun Qiu (28 shared papers)Liufeng Tao (26 shared papers)Miao Tian (12 shared papers)Qinjun Qiu (7 shared papers)Liang Wu (4 shared papers)Hairong Lv (1 shared paper)Chaofan Li (2 shared papers)
In The Last Decade
Kai Ma
53 papers receiving 491 citations
Peers
Comparison fields: 5 of 83
- Geography, Planning and Development 76
- Artificial Intelligence 360
- Geochemistry and Petrology 60
- Management Science and Operations Research 43
- Information Systems 52
Countries citing papers authored by Kai Ma
This map shows the geographic impact of Kai Ma'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 Kai Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Ma more than expected).
Fields of papers citing papers by Kai Ma
This network shows the impact of papers produced by Kai Ma. 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 Kai Ma. The network helps show where Kai Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Ma, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 32 | |
| 2 | 2023 | 29 | |
| 3 | 2022 | 26 | |
| 4 | 2022 | 24 | |
| 5 | 2022 | 24 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 23 | |
| 8 | 2022 | 20 | |
| 9 | 2023 | 19 | |
| 10 | 2022 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2023 | 17 | |
| 13 | 2022 | 17 | |
| 14 | 2010 | 17 | |
| 15 | 2021 | 15 | |
| 16 | 2022 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2023 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2024 | 10 |
About Kai Ma
Kai Ma is a scholar working on Artificial Intelligence, Geography, Planning and Development, Molecular Biology, Management Science and Operations Research and Information Systems, having authored 61 papers that have together received 512 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Geographic Information Systems Studies (15 papers), Semantic Web and Ontologies (12 papers), Natural Language Processing Techniques (12 papers), Data Quality and Management (8 papers), Geochemistry and Geologic Mapping (8 papers), Biomedical Text Mining and Ontologies (8 papers) and Geological Modeling and Analysis (6 papers). The work is most often cited by research in Geography, Planning and Development (76 citations), Artificial Intelligence (360 citations), Geochemistry and Petrology (60 citations), Management Science and Operations Research (43 citations) and Information Systems (52 citations). Kai Ma has collaborated with scholars based in China and Rwanda. Frequent co-authors include Zhong Xie, Qinjun Qiu, Liufeng Tao, Miao Tian, Qinjun Qiu, Liang Wu, Hairong Lv, Chaofan Li, Yuan Zhou and Sanfeng Li. Their work appears in journals such as Ore Geology Reviews, Journal of Earth Science, Transactions in GIS, ISPRS International Journal of Geo-Information and Earth and Space Science.
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.