Ning Zhong
Impact in
- Computational Theory and Mathematics top 0.5%
- Rough Sets and Fuzzy Logic
- Information Systems top 0.5%
- Data Mining Algorithms and Applications
Papers in
-
- Rough Sets and Fuzzy Logic 47
- Computability, Logic, AI Algorithms 29
-
- Data Mining Algorithms and Applications 55
- Recommender Systems and Techniques 25
- Web Data Mining and Analysis 25
- Journals
- Cognitive Systems Research (8 papers)International Journal of Information Technology & Decision Making (8 papers)Journal of Intelligent Information Systems (5 papers)IEEE Transactions on Knowledge and Data Engineering (5 papers)IEEE Intelligent Systems (5 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ning Zhong
340 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 175
- Computational Theory and Mathematics 995
- Information Systems 1.4k
- Artificial Intelligence 1.6k
- Cognitive Neuroscience 820
- Metals and Alloys 101
Countries citing papers authored by Ning Zhong
This map shows the geographic impact of Ning Zhong'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 Ning Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Zhong more than expected).
Fields of papers citing papers by Ning Zhong
This network shows the impact of papers produced by Ning Zhong. 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 Ning Zhong. The network helps show where Ning Zhong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ning Zhong, 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 | 2025 | 1 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 60 | |
| 8 | 2021 | 127 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 59 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 54 | |
| 13 | 2017 | 131 | |
| 14 | 2017 | 250 | |
| 15 | Ontology-based information system for the early warning of building safety | 2015 | 1 |
| 16 | 2015 | 6 | |
| 17 | Exploring Visual Search and Browsing Strategies on Web Pages Using the Eye-tracking | 2011 | 0 |
| 18 | Combining Classifiers Based on Two-phase Ensemble Learning | 2010 | 0 |
| 19 | 2008 | 12 | |
| 20 | RULE DISCOVERY FROM THE MENINGITIS DATABASE BY GDT-RS | 1998 | 1 |
About Ning Zhong
Ning Zhong is a scholar working on Computational Theory and Mathematics, Information Systems, Artificial Intelligence, Cognitive Neuroscience and Signal Processing, having authored 371 papers that have together received 5.5k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (55 papers), Rough Sets and Fuzzy Logic (47 papers), Semantic Web and Ontologies (33 papers), Computability, Logic, AI Algorithms (29 papers), Functional Brain Connectivity Studies (25 papers), Recommender Systems and Techniques (25 papers), Web Data Mining and Analysis (25 papers) and Data Management and Algorithms (22 papers). The work is most often cited by research in Computational Theory and Mathematics (995 citations), Information Systems (1.4k citations), Artificial Intelligence (1.6k citations), Cognitive Neuroscience (820 citations) and Metals and Alloys (101 citations). Ning Zhong has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jiming Liu, Yiyu Yao, Setsuo Ohsuga, Yuefeng Li, Xiaodong Wang, Haiyan Zhou, Juzhen Dong, Jiajin Huang, Yuefeng Li and Sheng‐Tang Wu. Their work appears in journals such as Cognitive Systems Research, International Journal of Information Technology & Decision Making, Journal of Intelligent Information Systems, IEEE Transactions on Knowledge and Data Engineering and IEEE Intelligent Systems.
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.