Mingda Zhang
Impact in
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- Geographic Information Systems Studies
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- Scientific Computing and Data Management
Papers in
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- Scientific Computing and Data Management 11
- Co-authors
- Peng Yue (17 shared papers)Liangcun Jiang (6 shared papers)Marc Fortin (1 shared paper)Desh Pal S. Verma (1 shared paper)Fred A. Jacobs (1 shared paper)Lei Hu (3 shared papers)Xia Guo (1 shared paper)Jianya Gong (2 shared papers)
- Journals
- Remote Sensing (4 papers)Environmental Modelling & Software (2 papers)Tetrahedron (1 paper)Theranostics (1 paper)Industrial & Engineering Chemistry Research (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Mingda Zhang
42 papers receiving 442 citations
Peers
Comparison fields: 5 of 99
- Geography, Planning and Development 66
- Information Systems and Management 70
- Signal Processing 47
- Geology 24
- Health Information Management 16
Countries citing papers authored by Mingda Zhang
This map shows the geographic impact of Mingda Zhang'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 Mingda Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingda Zhang more than expected).
Fields of papers citing papers by Mingda Zhang
This network shows the impact of papers produced by Mingda Zhang. 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 Mingda Zhang. The network helps show where Mingda Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingda Zhang, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 61 | |
| 2 | 2015 | 39 | |
| 3 | 2014 | 30 | |
| 4 | 2024 | 28 | |
| 5 | 2019 | 28 | |
| 6 | 2022 | 26 | |
| 7 | 2019 | 26 | |
| 8 | 2013 | 19 | |
| 9 | 2020 | 17 | |
| 10 | 2021 | 17 | |
| 11 | 2017 | 13 | |
| 12 | 2020 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 2016 | 12 | |
| 15 | 2024 | 11 | |
| 16 | 2019 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2017 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2019 | 7 |
About Mingda Zhang
Mingda Zhang is a scholar working on Information Systems and Management, Information Systems, Global and Planetary Change, Artificial Intelligence and Atmospheric Science, having authored 48 papers that have together received 448 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (11 papers), Geographic Information Systems Studies (6 papers), Distributed and Parallel Computing Systems (5 papers), Data Management and Algorithms (3 papers), Flood Risk Assessment and Management (3 papers), Land Use and Ecosystem Services (3 papers), Semantic Web and Ontologies (3 papers) and Remote Sensing and Land Use (3 papers). The work is most often cited by research in Geography, Planning and Development (66 citations), Information Systems and Management (70 citations), Signal Processing (47 citations), Geology (24 citations) and Health Information Management (16 citations). Mingda Zhang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Peng Yue, Liangcun Jiang, Marc Fortin, Desh Pal S. Verma, Fred A. Jacobs, Lei Hu, Xia Guo, Jianya Gong, Ke Yu and Yungang Li. Their work appears in journals such as Remote Sensing, Environmental Modelling & Software, Tetrahedron, Theranostics and Industrial & Engineering Chemistry Research.
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.