Ligang He
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- Distributed and Parallel Computing Systems 40
- IoT and Edge/Fog Computing 21
- Caching and Content Delivery 18
- Advanced Data Storage Technologies 14
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 32
- Information Systems top 0.5%
- Cloud Computing and Resource Management 80
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks 14
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- Graph Theory and Algorithms 24
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Ligang He
147 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 102
- Computer Networks and Communications 1.2k
- Hardware and Architecture 348
- Information Systems 913
- Artificial Intelligence 510
- Computer Vision and Pattern Recognition 291
Countries citing papers authored by Ligang He
This map shows the geographic impact of Ligang He'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 Ligang He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ligang He more than expected).
Fields of papers citing papers by Ligang He
This network shows the impact of papers produced by Ligang He. 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 Ligang He. The network helps show where Ligang He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ligang He, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 17 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 26 | |
| 13 | 2020 | 40 | |
| 14 | 2020 | 12 | |
| 15 | 2019 | 46 | |
| 16 | Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series. | 2019 | 2 |
| 17 | 2019 | 29 | |
| 18 | Cgraph: a correlations-aware approach for efficient concurrent iterative graph processing | 2018 | 13 |
| 19 | 2006 | 6 | |
| 20 | Comparing Layered Queuing and Historical Performance Models of a Distributed Enterprise Application | 2005 | 1 |
About Ligang He
Ligang He is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 163 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (80 papers), Distributed and Parallel Computing Systems (40 papers), Parallel Computing and Optimization Techniques (32 papers), Graph Theory and Algorithms (24 papers), IoT and Edge/Fog Computing (21 papers), Caching and Content Delivery (18 papers), Advanced Data Storage Technologies (14 papers) and Advanced Graph Neural Networks (14 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Hardware and Architecture (348 citations) and Information Systems (913 citations). Ligang He has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Stephen A. Jarvis, Weiwei Lin, Kenli Li, Hai Jin, Wentai Wu, Yuming Xu, Xuanhua Shi, Keqin Li, G.R. Nudd and Daniel P. Spooner. Their work appears in journals such as Scientific Reports, IEEE Access and Solar Energy.
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.