Ligang He

2.8k total citations
163 papers, 1.9k citations indexed

About

Ligang He is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Ligang He has authored 163 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Computer Networks and Communications, 89 papers in Information Systems and 42 papers in Artificial Intelligence. Recurrent topics in Ligang He's work include Cloud Computing and Resource Management (80 papers), Distributed and Parallel Computing Systems (40 papers) and Parallel Computing and Optimization Techniques (32 papers). Ligang He is often cited by papers focused on Cloud Computing and Resource Management (80 papers), Distributed and Parallel Computing Systems (40 papers) and Parallel Computing and Optimization Techniques (32 papers). Ligang He collaborates with scholars based in United Kingdom, China and United States. Ligang He's 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 and has published in prestigious journals such as Scientific Reports, IEEE Access and Solar Energy.

In The Last Decade

Ligang He

147 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ligang He United Kingdom 24 1.2k 913 510 348 291 163 1.9k
Abhishek Verma United States 19 1.6k 1.3× 1.6k 1.7× 495 1.0× 232 0.7× 234 0.8× 40 2.4k
Florin Pop Romania 25 1.6k 1.4× 1.2k 1.3× 327 0.6× 168 0.5× 230 0.8× 256 2.4k
Gongxuan Zhang China 22 989 0.8× 832 0.9× 458 0.9× 128 0.4× 295 1.0× 115 1.9k
Odej Kao Germany 22 1.8k 1.5× 1.2k 1.4× 627 1.2× 155 0.4× 276 0.9× 181 2.3k
Nicola Mazzocca Italy 21 753 0.6× 569 0.6× 420 0.8× 322 0.9× 105 0.4× 181 1.7k
Farokh Bastani United States 23 809 0.7× 975 1.1× 526 1.0× 113 0.3× 174 0.6× 205 2.0k
Yuxiong He United States 26 1.1k 0.9× 745 0.8× 928 1.8× 545 1.6× 723 2.5× 86 2.4k
I‐Ling Yen United States 23 908 0.8× 971 1.1× 569 1.1× 99 0.3× 181 0.6× 198 1.8k
Valeria Cardellini Italy 30 2.5k 2.0× 1.7k 1.9× 513 1.0× 203 0.6× 174 0.6× 106 2.9k

Countries citing papers authored by Ligang He

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ligang He

This figure shows the co-authorship network connecting the top 25 collaborators of Ligang He. A scholar is included among the top collaborators of Ligang He 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 Ligang He. Ligang He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Yuchen, et al.. (2025). PFed-NS: An Adaptive Personalized Federated Learning Scheme Through Neural Network Segmentation. IEEE Transactions on Computers. 74(6). 1936–1948. 1 indexed citations
2.
3.
He, Ligang, Yu Zhang, Bingsheng He, et al.. (2025). OHMiner: An Overlap-centric System for Efficient Hypergraph Pattern Mining. 621–636.
4.
Ma, Shuang, Ligang He, Qirong Yang, et al.. (2024). Competitive influence of interface effect, scale effect and mixed salt ratio on thermal conductivity of mesoporous complex nitrate. Solar Energy. 284. 113075–113075.
5.
Yu, Hui, Yu Zhang, Ligang He, et al.. (2024). CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network. 1–6. 2 indexed citations
6.
Amin, Farhan, Ligang He, & Gyu Sang Choi. (2024). City Hotspot Identification Using Smart Cyber-Physical Social System. IEEE Access. 12. 60556–60567.
7.
Lin, Weiwei, et al.. (2024). A multi-agent reinforcement learning-based method for server energy efficiency optimization combining DVFS and dynamic fan control. Sustainable Computing Informatics and Systems. 42. 100977–100977. 4 indexed citations
8.
Han, Xie, et al.. (2023). Point Cloud Segmentation Network Based on Attention Mechanism and Dual Graph Convolution. Electronics. 12(24). 4991–4991. 1 indexed citations
9.
Zhang, Yu, Ligang He, Hui Yu, et al.. (2023). GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing. ACM Transactions on Architecture and Code Optimization. 20(3). 1–24. 1 indexed citations
10.
He, Ligang, et al.. (2022). PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point Cloud. IEEE Transactions on Circuits and Systems for Video Technology. 32(10). 6835–6849. 17 indexed citations
11.
Liao, Xiaofei, Yu Zhang, Bingsheng He, et al.. (2021). A Structure-Aware Storage Optimization for Out-of-Core Concurrent Graph Processing. IEEE Transactions on Computers. 71(7). 1612–1625. 3 indexed citations
12.
Lakshminarayana, Subhash, et al.. (2021). Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks. IEEE Internet of Things Journal. 9(14). 12351–12363. 26 indexed citations
13.
Wu, Wentai, et al.. (2020). Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality. IEEE Transactions on Knowledge and Data Engineering. 34(9). 4147–4160. 40 indexed citations
14.
Yuan, Bin, Huan Zhao, Deqing Zou, et al.. (2020). Minimizing Financial Cost of DDoS Attack Defense in Clouds With Fine-Grained Resource Management. IEEE Transactions on Network Science and Engineering. 7(4). 2541–2554. 12 indexed citations
15.
Lin, Weiwei, Wentai Wu, & Ligang He. (2019). An On-Line Virtual Machine Consolidation Strategy for Dual Improvement in Performance and Energy Conservation of Server Clusters in Cloud Data Centers. IEEE Transactions on Services Computing. 15(2). 766–777. 46 indexed citations
16.
Wu, Wentai, Ligang He, & Weiwei Lin. (2019). Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series.. arXiv (Cornell University). 2 indexed citations
17.
Wu, Wentai, et al.. (2019). A Power Consumption Model for Cloud Servers Based on Elman Neural Network. IEEE Transactions on Cloud Computing. 9(4). 1268–1277. 29 indexed citations
18.
Zhang, Yu, Xiaofei Liao, Hai Jin, et al.. (2018). Cgraph: a correlations-aware approach for efficient concurrent iterative graph processing. Warwick Research Archive Portal (University of Warwick). 441–452. 13 indexed citations
19.
He, Ligang, Stephen A. Jarvis, Daniel P. Spooner, & G.R. Nudd. (2006). Performance evaluation of scheduling applications with DAG topologies on multiclusters with independent local schedulers. International Parallel and Distributed Processing Symposium. 325–325. 6 indexed citations
20.
Jarvis, Stephen A., et al.. (2005). Comparing Layered Queuing and Historical Performance Models of a Distributed Enterprise Application. University of Birmingham Research Portal (University of Birmingham). 608–613. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Abhishek Verma Breakdown of academic impact, for papers by Florin Pop Breakdown of academic impact, for papers by Gongxuan Zhang Breakdown of academic impact, for papers by Odej Kao Breakdown of academic impact, for papers by Nicola Mazzocca Breakdown of academic impact, for papers by Farokh Bastani Breakdown of academic impact, for papers by Yuxiong He Breakdown of academic impact, for papers by I‐Ling Yen Breakdown of academic impact, for papers by Valeria Cardellini
Rankless by CCL
2026