Weibin Meng
Impact in
- Software top 2%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
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- Software System Performance and Reliability
- Network Security and Intrusion Detection
Papers in
- Software 6
- Software Reliability and Analysis Research 3
- Software Testing and Debugging Techniques 3
-
- Software System Performance and Reliability 20
- Network Security and Intrusion Detection 12
- Software-Defined Networks and 5G 3
- Co-authors
- Dan PeiShenglin ZhangYing LiuShimin TaoYuqing LiuYichen ZhuRong ZhouYihao Chen
- Journals
- ACM SIGMETRICS Performance Evaluation Review (3 papers)IEEE Transactions on Network and Service Management (3 papers)Sensors (1 paper)IEEE Access (1 paper)Empirical Software Engineering (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Weibin Meng
29 papers receiving 911 citations
Hit Papers
Peers
Comparison fields: 5 of 37
- Software 159
- Computer Networks and Communications 835
- Artificial Intelligence 547
- Information Systems 284
- Signal Processing 76
Countries citing papers authored by Weibin Meng
This map shows the geographic impact of Weibin Meng'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 Weibin Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weibin Meng more than expected).
Fields of papers citing papers by Weibin Meng
This network shows the impact of papers produced by Weibin Meng. 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 Weibin Meng. The network helps show where Weibin Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Weibin Meng, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 7 | |
| 10 | 2021 | 38 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 54 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 0 | |
| 15 | 2018 | 44 | |
| 16 | 2018 | 24 | |
| 17 | 2018 | 47 | |
| 18 | 2018 | 0 | |
| 19 | 2015 | 1 | |
| 20 | 2002 | 4 |
About Weibin Meng
Weibin Meng is a scholar working on Software, Computer Networks and Communications, Information Systems, Signal Processing and Artificial Intelligence, having authored 32 papers that have together received 931 indexed citations. Recurring topics across this work include Software System Performance and Reliability (20 papers), Network Security and Intrusion Detection (12 papers), Software Engineering Research (9 papers), Anomaly Detection Techniques and Applications (5 papers), Software Reliability and Analysis Research (3 papers), Cloud Computing and Resource Management (3 papers), Software-Defined Networks and 5G (3 papers) and Software Testing and Debugging Techniques (3 papers). The work is most often cited by research in Software (159 citations), Computer Networks and Communications (835 citations), Artificial Intelligence (547 citations), Information Systems (284 citations) and Signal Processing (76 citations). Weibin Meng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dan Pei, Shenglin Zhang, Ying Liu, Shimin Tao, Yuqing Liu, Yichen Zhu, Rong Zhou, Yihao Chen, Ruizhi Zhang and Pei Sun. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, IEEE Transactions on Network and Service Management, Sensors, IEEE Access and Empirical Software Engineering.
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.