Jing Ma
- Sociology and Political Science top 0.5%
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Signal Processing top 2%
- Co-authors
- Wei GaoKam‐Fai WongBernard J. JansenMeeyoung ChaSejeong KwonPrasenjit MitraYueming LuZhongyu Wei
- Topics
- Topic Modeling (31 papers)Misinformation and Its Impacts (23 papers)Spam and Phishing Detection (9 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jing Ma
80 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Sociology and Political Science 2.4k
- Artificial Intelligence 1.7k
- Information Systems 1.3k
- Statistical and Nonlinear Physics 1.1k
- Signal Processing 275
Countries citing papers authored by Jing Ma
This map shows the geographic impact of Jing 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 Jing Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Ma more than expected).
Fields of papers citing papers by Jing Ma
This network shows the impact of papers produced by Jing 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 Jing Ma. The network helps show where Jing Ma may publish in the future.
Co-authorship network of co-authors of Jing Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Ma. A scholar is included among the top collaborators of Jing Ma 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 Jing Ma. Jing Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 37 | |
| 13 | 31 | |
| 14 | 7 | |
| 15 | 27 | |
| 16 | 30 | |
| 17 | Partial correlation estimation for functional connectivity and its application to classification of chronic back pain patients | 0 |
| 18 | Short Text Classification Research Based on TW-CNN | 2 |
| 19 | Detecting rumors from microblogs with recurrent neural networksbreakdown → | 607 |
| 20 | 1 |
About Jing Ma
Jing Ma is a scholar working on Computational Mathematics, Artificial Intelligence and Business and International Management, having authored 90 papers that have together received 3.1k indexed citations. Recurring topics across this work include Topic Modeling (31 papers), Misinformation and Its Impacts (23 papers) and Spam and Phishing Detection (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Information Systems (1.3k citations) and Sociology and Political Science (2.4k citations). Jing Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wei Gao, Kam‐Fai Wong, Bernard J. Jansen, Meeyoung Cha, Sejeong Kwon, Prasenjit Mitra, Yueming Lu, Zhongyu Wei, Shafiq Joty and Zhiwei Yang. Their work appears in journals such as Advanced Materials, Journal of Agricultural and Food Chemistry and Pattern Recognition.
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.