Ning Wang
Impact in
- Human-Computer Interaction top 5%
- Digital Communication and Language
- Signal Processing top 5%
- Biometric Identification and Security
- Data Management and Algorithms
Papers in
-
- Semantic Web and Ontologies 13
- Topic Modeling 12
-
- Web Data Mining and Analysis 18
- Co-authors
- Ahmed A. Abd El‐Latif (5 shared papers)Xiamu Niu (4 shared papers)Qiong Li (4 shared papers)Jialiang Peng (3 shared papers)Qiaozhu Mei (1 shared paper)Xuanzhe Liu (1 shared paper)Xuan Lü (1 shared paper)Gang L. Huang (1 shared paper)
- Journals
- Neurocomputing (4 papers)Computers and Electronics in Agriculture (3 papers)Expert Systems with Applications (3 papers)Information Sciences (3 papers)Computer Networks (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ning Wang
156 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 144
- Human-Computer Interaction 141
- Signal Processing 208
- Computer Science Applications 71
- Computer Vision and Pattern Recognition 264
- Artificial Intelligence 352
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 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 153 | |
| 2 | 2018 | 72 | |
| 3 | 2012 | 71 | |
| 4 | 2018 | 48 | |
| 5 | 2012 | 47 | |
| 6 | 2021 | 46 | |
| 7 | 2003 | 46 | |
| 8 | 2021 | 41 | |
| 9 | 2021 | 41 | |
| 10 | 2005 | 35 | |
| 11 | 2013 | 32 | |
| 12 | 2018 | 31 | |
| 13 | 2023 | 26 | |
| 14 | 2018 | 25 | |
| 15 | 2017 | 19 | |
| 16 | 2021 | 19 | |
| 17 | 2025 | 16 | |
| 18 | 2013 | 15 | |
| 19 | Improved Differential Attacks on Reduced SIMON Versions. | 2014 | 15 |
| 20 | Cross-Domain Speech Disfluency Detection | 2013 | 13 |
About Ning Wang
Ning Wang is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Management Science and Operations Research, having authored 178 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Management and Algorithms (19 papers), Data Quality and Management (19 papers), Caching and Content Delivery (19 papers), Web Data Mining and Analysis (18 papers), Peer-to-Peer Network Technologies (16 papers), Advanced Database Systems and Queries (14 papers), Semantic Web and Ontologies (13 papers) and Topic Modeling (12 papers). The work is most often cited by research in Human-Computer Interaction (141 citations), Signal Processing (208 citations), Computer Science Applications (71 citations), Computer Vision and Pattern Recognition (264 citations) and Artificial Intelligence (352 citations). Ning Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ahmed A. Abd El‐Latif, Xiamu Niu, Qiong Li, Jialiang Peng, Qiaozhu Mei, Xuanzhe Liu, Xuan Lü, Gang L. Huang, Qian Li and Eric Greenwald. Their work appears in journals such as Neurocomputing, Computers and Electronics in Agriculture, Expert Systems with Applications, Information Sciences and Computer Networks.
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.