Jilong Wang
- Molecular Biology
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Kechun ZhangJingyu WangYi-Shu TaiTerence HwaMarkus BasanDavid W. EricksonStephen S. ChenSheng Hui
- Topics
- Software-Defined Networks and 5G (20 papers)Internet Traffic Analysis and Secure E-voting (19 papers)Network Security and Intrusion Detection (19 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jilong Wang
90 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 471
- Computer Networks and Communications 273
- Artificial Intelligence 226
- Biomedical Engineering 166
- Computer Vision and Pattern Recognition 144
Countries citing papers authored by Jilong Wang
This map shows the geographic impact of Jilong 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 Jilong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jilong Wang more than expected).
Fields of papers citing papers by Jilong Wang
This network shows the impact of papers produced by Jilong 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 Jilong Wang. The network helps show where Jilong Wang may publish in the future.
Co-authorship network of co-authors of Jilong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jilong Wang. A scholar is included among the top collaborators of Jilong Wang 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 Jilong Wang. Jilong Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 6 | |
| 13 | 18 | |
| 14 | 10 | |
| 15 | Graph Stochastic Neural Networks for Semi-supervised Learning | 12 |
| 16 | 3 | |
| 17 | 1 | |
| 18 | Information Search Platform for Internet Management Systems | 1 |
| 19 | Improved SNMP-based network topology discovery algorithm and its implementation | 2 |
| 20 | TopN sort algorithm based on multiple filtering | 1 |
About Jilong Wang
Jilong Wang is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 109 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (20 papers), Internet Traffic Analysis and Secure E-voting (19 papers) and Network Security and Intrusion Detection (19 papers). The work is most often cited by research in Computer Networks and Communications (273 citations), Computer Vision and Pattern Recognition (144 citations) and Artificial Intelligence (226 citations). Jilong Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Kechun Zhang, Jingyu Wang, Yi-Shu Tai, Terence Hwa, Markus Basan, David W. Erickson, Stephen S. Chen, Sheng Hui, James R. Williamson and Zinan Lin. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Agricultural and Food Chemistry.
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.