Mingda Zhang
- Computer Vision and Pattern Recognition top 10%
- Media Technology top 5%
- Artificial Intelligence
- Information Systems and Management top 10%
- Geography, Planning and Development top 5%
- Co-authors
- Zhenyu TanPeng YueLiping DiMeiling GaoLiying GuoAdriana KovashkaLiangcun JiangDanfeng Qin
- Topics
- Multimodal Machine Learning Applications (6 papers)Data Management and Algorithms (5 papers)Distributed and Parallel Computing Systems (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceRemote SensingEnvironmental Modelling & Software
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Mingda Zhang
19 papers receiving 324 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 125
- Media Technology 98
- Artificial Intelligence 89
- Information Systems and Management 56
- Geography, Planning and Development 48
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-authorship network of co-authors of Mingda Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Mingda Zhang. A scholar is included among the top collaborators of Mingda Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingda Zhang. Mingda Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering | 14 |
| 8 | 3 | |
| 9 | 16 | |
| 10 | 4 | |
| 11 | 31 | |
| 12 | 106 | |
| 13 | 22 | |
| 14 | A geoscientific workflow scripting approach for integration of distributed multiple source geoprocessing packages | 1 |
| 15 | 71 | |
| 16 | 11 | |
| 17 | 26 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 8 |
About Mingda Zhang
Mingda Zhang is a scholar working on Geography, Planning and Development, Signal Processing and Information Systems and Management, having authored 22 papers that have together received 335 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Data Management and Algorithms (5 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Media Technology (98 citations), Geography, Planning and Development (48 citations) and Information Systems and Management (56 citations). Mingda Zhang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Zhenyu Tan, Peng Yue, Liping Di, Meiling Gao, Liying Guo, Adriana Kovashka, Liangcun Jiang, Danfeng Qin, Chenxiao Zhang and Jesse Berent. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Remote Sensing and Environmental Modelling & Software.
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.