Heming Cui

1.3k total citations
71 papers, 758 citations indexed

About

Heming Cui is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Heming Cui has authored 71 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Networks and Communications, 24 papers in Information Systems and 18 papers in Artificial Intelligence. Recurrent topics in Heming Cui's work include Distributed systems and fault tolerance (20 papers), Parallel Computing and Optimization Techniques (15 papers) and Software Testing and Debugging Techniques (12 papers). Heming Cui is often cited by papers focused on Distributed systems and fault tolerance (20 papers), Parallel Computing and Optimization Techniques (15 papers) and Software Testing and Debugging Techniques (12 papers). Heming Cui collaborates with scholars based in Hong Kong, China and United States. Heming Cui's co-authors include Jingyue Wu, Junfeng Yang, Junfeng Yang, Gang Hu, Shixiong Zhao, Chia-Che Tsai, John P. Gallagher, Yuqun Zhang, Lingming Zhang and Cheng Wang and has published in prestigious journals such as Communications of the ACM, IEEE Journal on Selected Areas in Communications and Information Sciences.

In The Last Decade

Heming Cui

62 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heming Cui Hong Kong 15 418 280 279 187 173 71 758
Ben L. Titzer United States 12 440 1.1× 172 0.6× 324 1.2× 110 0.6× 320 1.8× 30 856
Asim Kadav United States 16 472 1.1× 188 0.7× 247 0.9× 72 0.4× 262 1.5× 24 813
Sudipta Chattopadhyay Singapore 15 346 0.8× 131 0.5× 391 1.4× 129 0.7× 187 1.1× 44 808
René Rydhof Hansen Denmark 13 255 0.6× 235 0.8× 151 0.5× 170 0.9× 224 1.3× 66 641
Witawas Srisa‐an United States 16 744 1.8× 422 1.5× 319 1.1× 297 1.6× 262 1.5× 83 1.1k
Ming Wu United States 12 621 1.5× 412 1.5× 189 0.7× 61 0.3× 197 1.1× 26 839
Shengjian Guo United States 12 193 0.5× 193 0.7× 113 0.4× 219 1.2× 248 1.4× 24 600
Soo‐Mook Moon South Korea 15 499 1.2× 147 0.5× 582 2.1× 139 0.7× 230 1.3× 99 969
Artemios G. Voyiatzis Greece 16 222 0.5× 172 0.6× 148 0.5× 65 0.3× 134 0.8× 45 593
Byoungyoung Lee South Korea 13 156 0.4× 209 0.7× 180 0.6× 175 0.9× 438 2.5× 30 643

Countries citing papers authored by Heming Cui

Since Specialization
Citations

This map shows the geographic impact of Heming Cui'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 Heming Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heming Cui more than expected).

Fields of papers citing papers by Heming Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heming Cui. 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 Heming Cui. The network helps show where Heming Cui may publish in the future.

Co-authorship network of co-authors of Heming Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Heming Cui. A scholar is included among the top collaborators of Heming Cui 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 Heming Cui. Heming Cui 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.
Zhang, Zongyuan, Lin Zheng, Dong Huang, et al.. (2025). State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning. IEEE Transactions on Mobile Computing. 25(1). 992–1008.
2.
Zhang, Jie M., et al.. (2025). Bias Testing and Mitigation in LLM-based Code Generation. ACM Transactions on Software Engineering and Methodology. 35(1). 1–31. 4 indexed citations
3.
Zhang, Zongyuan, Zheng Lin, Dong Huang, et al.. (2025). Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks. 20418–20425.
4.
Sun, Z. T., et al.. (2024). New Problems in Distributed Inference for DNN Models on Robotic IoT. 1–9. 4 indexed citations
5.
Xie, Xiaofei, et al.. (2024). Neuron Sensitivity-Guided Test Case Selection. ACM Transactions on Software Engineering and Methodology. 33(7). 1–32. 1 indexed citations
6.
Sun, Z. T., et al.. (2024). OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robots in Dynamic Environments via State Space Model. IEEE Robotics and Automation Letters. 10(2). 1066–1073. 5 indexed citations
7.
Zhou, Wenchao, et al.. (2024). A survey on hybrid transactional and analytical processing. The VLDB Journal. 33(5). 1485–1515. 1 indexed citations
8.
Sun, Z. T., Tianxiang Shen, Dong Huang, et al.. (2024). HE-Nav: A High-Performance and Efficient Navigation System for Aerial-Ground Robots in Cluttered Environments. IEEE Robotics and Automation Letters. 9(11). 10383–10390. 5 indexed citations
9.
Zhou, Wenchao, et al.. (2023). Rethink Query Optimization in HTAP Databases. Proceedings of the ACM on Management of Data. 1(4). 1–27. 1 indexed citations
10.
Chen, Junjie, et al.. (2023). SJFuzz: Seed and Mutator Scheduling for JVM Fuzzing. The HKU Scholars Hub (University of Hong Kong). 1062–1074. 8 indexed citations
11.
Chen, Kunqiu, et al.. (2023). Enhancing Coverage-Guided Fuzzing via Phantom Program. The HKU Scholars Hub (University of Hong Kong). 1037–1049. 6 indexed citations
12.
Zhao, Shixiong, et al.. (2023). Fold3D: Rethinking and Parallelizing Computational and Communicational Tasks in the Training of Large DNN Models. IEEE Transactions on Parallel and Distributed Systems. 34(5). 1432–1449. 8 indexed citations
13.
Ji, Tao, et al.. (2022). A Geography-Based P2P Overlay Network for Fast and Robust Blockchain Systems. IEEE Transactions on Services Computing. 1–14. 10 indexed citations
14.
Zhang, Fengwei, et al.. (2021). Securing Big Data Scientific Workflows via Trusted Heterogeneous Environments. IEEE Transactions on Dependable and Secure Computing. 19(6). 4187–4203. 5 indexed citations
15.
Shen, Tianxiang, Yunpeng Jiang, Ji Qi, et al.. (2021). DAENet: Making Strong Anonymity Scale in a Fully Decentralized Network. IEEE Transactions on Dependable and Secure Computing. 19(4). 2286–2303. 4 indexed citations
16.
Zhao, Shixiong, Sen Wang, Peng Wang, et al.. (2021). vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training. IEEE Transactions on Parallel and Distributed Systems. 33(3). 489–506. 24 indexed citations
17.
Zhao, Shixiong, Ji Qi, Cheng Wang, et al.. (2021). Efficient and DoS-resistant Consensus for Permissioned Blockchains. Performance Evaluation. 153. 102244–102244. 4 indexed citations
18.
Cui, Heming, et al.. (2020). {vSMT-IO}: Improving {I/O} Performance and Efficiency on {SMT} Processors in Virtualized Clouds. USENIX Annual Technical Conference. 449–463. 1 indexed citations
19.
Wang, Cheng, et al.. (2018). {PLOVER}: Fast, Multi-core Scalable Virtual Machine Fault-tolerance. Networked Systems Design and Implementation. 483–489. 10 indexed citations
20.
Jia, Weiwei, et al.. (2018). Effectively Mitigating I/O Inactivity in vCPU Scheduling. USENIX Annual Technical Conference. 267–280. 7 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.

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