Zongyang Ma
- Transportation top 0.5%
- Information Systems top 1%
- Computational Mathematics top 10%
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- Complex Network Analysis Techniques 3
- Signal Processing top 5%
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- Topic Modeling 12
- Advanced Text Analysis Techniques 7
- Sentiment Analysis and Opinion Mining 4
- Text and Document Classification Technologies 4
- Natural Language Processing Techniques 4
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- Multimodal Machine Learning Applications 5
- Advanced Image and Video Retrieval Techniques 3
Zongyang Ma
19 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Transportation 545
- Information Systems 701
- Computational Mathematics 17
- Statistical and Nonlinear Physics 300
- Signal Processing 245
Countries citing papers authored by Zongyang Ma
This map shows the geographic impact of Zongyang 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 Zongyang Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zongyang Ma more than expected).
Fields of papers citing papers by Zongyang Ma
This network shows the impact of papers produced by Zongyang 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 Zongyang Ma. The network helps show where Zongyang Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zongyang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 2 | |
| 9 | 2019 | 2 | |
| 10 | 2017 | 107 | |
| 11 | 2016 | 200 | |
| 12 | 2016 | 39 | |
| 13 | 2015 | 15 | |
| 14 | 2015 | 65 | |
| 15 | 2014 | 33 | |
| 16 | 2013 | 162 | |
| 17 | 2013 | 162 | |
| 18 | Time-aware point-of-interest recommendationbreakdown → | 2013 | 536 |
| 19 | 2012 | 47 | |
| 20 | 2012 | 54 |
About Zongyang Ma
Zongyang Ma is a scholar working on Artificial Intelligence, Transportation, Geography, Planning and Development, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Advanced Text Analysis Techniques (7 papers), Multimodal Machine Learning Applications (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Text and Document Classification Technologies (4 papers), Natural Language Processing Techniques (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Transportation (545 citations), Information Systems (701 citations), Computational Mathematics (17 citations), Statistical and Nonlinear Physics (300 citations) and Signal Processing (245 citations). Zongyang Ma has collaborated with scholars based in Singapore, China and Canada. Frequent co-authors include Aixin Sun, Gao Cong, Nadia Magnenat‐Thalmann, Quan Yuan, Chenliang Li, Zhiqian Zhang, Haoran Wang, Quan Yuan, Yu Duan and Jian Xing. Their work appears in journals such as ACM Transactions on Information Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, Science China Information Sciences, SHILAP Revista de lepidopterología and Proceedings of the AAAI Conference on Artificial 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.