Eric Ke Wang
Impact in
- Information Systems top 2%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
Papers in
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- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 4
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- Cryptography and Data Security 7
- Privacy-Preserving Technologies in Data 5
- Co-authors
- Chien‐Ming Chen (18 shared papers)Saru Kumari (8 shared papers)Muhammad Khurram Khan (4 shared papers)Zuodong Liang (3 shared papers)Yunming Ye (8 shared papers)Tsu‐Yang Wu (6 shared papers)Mohammad Mehedi Hassan (2 shared papers)Siu Ming Yiu (3 shared papers)
In The Last Decade
Eric Ke Wang
47 papers receiving 939 citations
Peers
Comparison fields: 5 of 97
- Information Systems 348
- Computer Networks and Communications 347
- Artificial Intelligence 311
- Computer Vision and Pattern Recognition 194
- Signal Processing 58
Countries citing papers authored by Eric Ke Wang
This map shows the geographic impact of Eric Ke 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 Eric Ke Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Ke Wang more than expected).
Fields of papers citing papers by Eric Ke Wang
This network shows the impact of papers produced by Eric Ke 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 Eric Ke Wang. The network helps show where Eric Ke Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Ke 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 125 | |
| 2 | 2019 | 124 | |
| 3 | 2019 | 104 | |
| 4 | 2020 | 82 | |
| 5 | 2020 | 64 | |
| 6 | 2019 | 45 | |
| 7 | 2019 | 34 | |
| 8 | 2019 | 30 | |
| 9 | 2020 | 29 | |
| 10 | 2019 | 27 | |
| 11 | 2020 | 24 | |
| 12 | 2017 | 24 | |
| 13 | 2017 | 20 | |
| 14 | 2019 | 19 | |
| 15 | 2020 | 17 | |
| 16 | 2023 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2019 | 15 | |
| 19 | 2017 | 13 | |
| 20 | 2007 | 12 |
About Eric Ke Wang
Eric Ke Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Sociology and Political Science, having authored 55 papers that have together received 964 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Advanced Authentication Protocols Security (5 papers), Advanced Neural Network Applications (5 papers), Privacy-Preserving Technologies in Data (5 papers), Complex Network Analysis Techniques (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Security in Wireless Sensor Networks (4 papers) and Cloud Data Security Solutions (4 papers). The work is most often cited by research in Information Systems (348 citations), Computer Networks and Communications (347 citations), Artificial Intelligence (311 citations), Computer Vision and Pattern Recognition (194 citations) and Signal Processing (58 citations). Eric Ke Wang has collaborated with scholars based in China, Hong Kong and India. Frequent co-authors include Chien‐Ming Chen, Saru Kumari, Muhammad Khurram Khan, Zuodong Liang, Yunming Ye, Tsu‐Yang Wu, Mohammad Mehedi Hassan, Siu Ming Yiu, King-Hang Wang and K. P. Chow. Their work appears in journals such as Mathematical Biosciences & Engineering, Future Generation Computer Systems, IEEE Access, Pervasive and Mobile Computing and British Journal of Dermatology.
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.