Ning Wang
Impact in
- Human-Computer Interaction top 5%
- Digital Communication and Language
- Signal Processing top 5%
- Biometric Identification and Security
Papers in
-
- Semantic Web and Ontologies 12
- Topic Modeling 7
-
- Web Data Mining and Analysis 15
- Co-authors
- Ahmed A. Abd El‐Latif (5 shared papers)Qiong Li (4 shared papers)Xiamu Niu (4 shared papers)James C. Lester (1 shared paper)Jialiang Peng (3 shared papers)Qiaozhu Mei (1 shared paper)Xuan Lü (1 shared paper)Gang Huang (1 shared paper)
- Journals
- Neurocomputing (4 papers)Information Sciences (3 papers)Expert Systems with Applications (3 papers)Computers and Electronics in Agriculture (3 papers)Knowledge-Based Systems (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ning Wang
120 papers receiving 916 citations
Peers
Comparison fields: 5 of 138
- Human-Computer Interaction 118
- Signal Processing 179
- Health Informatics 18
- Computer Science Applications 68
- Computer Vision and Pattern Recognition 181
Countries citing papers authored by Ning Wang
This map shows the geographic impact of Ning Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Wang more than expected).
Fields of papers citing papers by Ning Wang
This network shows the impact of papers produced by Ning Wang. 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 Wang. The network helps show where Ning Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Wang, 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 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 117 | |
| 2 | 2018 | 63 | |
| 3 | 2012 | 62 | |
| 4 | 2023 | 46 | |
| 5 | 2018 | 45 | |
| 6 | 2003 | 43 | |
| 7 | 2012 | 43 | |
| 8 | 2021 | 40 | |
| 9 | 2021 | 34 | |
| 10 | 2021 | 34 | |
| 11 | 2013 | 30 | |
| 12 | 2018 | 24 | |
| 13 | 2023 | 18 | |
| 14 | 2021 | 16 | |
| 15 | 2013 | 14 | |
| 16 | 2017 | 13 | |
| 17 | Cross-Domain Speech Disfluency Detection | 2010 | 12 |
| 18 | 2020 | 11 | |
| 19 | 2023 | 9 | |
| 20 | 2025 | 9 |
About Ning Wang
Ning Wang is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Management Science and Operations Research, having authored 146 papers that have together received 965 indexed citations. Recurring topics across this work include Data Quality and Management (17 papers), Caching and Content Delivery (16 papers), Data Management and Algorithms (15 papers), Web Data Mining and Analysis (15 papers), Advanced Database Systems and Queries (14 papers), Peer-to-Peer Network Technologies (13 papers), Semantic Web and Ontologies (12 papers) and Topic Modeling (7 papers). The work is most often cited by research in Human-Computer Interaction (118 citations), Signal Processing (179 citations), Health Informatics (18 citations), Computer Science Applications (68 citations) and Computer Vision and Pattern Recognition (181 citations). Ning Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ahmed A. Abd El‐Latif, Qiong Li, Xiamu Niu, James C. Lester, Jialiang Peng, Qiaozhu Mei, Xuan Lü, Gang Huang, Qian Li and Wei Ai. Their work appears in journals such as Neurocomputing, Information Sciences, Expert Systems with Applications, Computers and Electronics in Agriculture and Knowledge-Based 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.