Wanchun Dou

10.4k total citations · 3 hit papers
315 papers, 7.3k citations indexed

About

Wanchun Dou is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Wanchun Dou has authored 315 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 206 papers in Computer Networks and Communications, 171 papers in Information Systems and 91 papers in Artificial Intelligence. Recurrent topics in Wanchun Dou's work include IoT and Edge/Fog Computing (85 papers), Caching and Content Delivery (66 papers) and Cloud Computing and Resource Management (61 papers). Wanchun Dou is often cited by papers focused on IoT and Edge/Fog Computing (85 papers), Caching and Content Delivery (66 papers) and Cloud Computing and Resource Management (61 papers). Wanchun Dou collaborates with scholars based in China, Australia and United States. Wanchun Dou's co-authors include Lianyong Qi, Xiaolong Xu, Xuyun Zhang, Jinjun Chen, Shui Yu, Qiang Ni, Wenmin Lin, Guihai Chen, Haipeng Dai and Qiang He and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Wanchun Dou

289 papers receiving 7.0k citations

Hit Papers

Complementing IoT Services Through Software Defined Netwo... 2019 2026 2021 2023 2020 2019 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanchun Dou China 46 3.8k 3.1k 2.3k 1.3k 927 315 7.3k
Xuyun Zhang China 48 3.3k 0.9× 3.3k 1.1× 3.1k 1.3× 874 0.7× 979 1.1× 211 7.2k
Lianyong Qi China 54 4.4k 1.2× 3.3k 1.1× 2.8k 1.2× 1.6k 1.2× 1.7k 1.8× 218 8.7k
Xiaolong Xu China 56 5.1k 1.3× 3.3k 1.1× 2.7k 1.2× 1.9k 1.5× 1.6k 1.7× 356 9.3k
Md Zakirul Alam Bhuiyan United States 52 4.0k 1.1× 2.4k 0.8× 2.4k 1.1× 1.9k 1.5× 842 0.9× 214 8.0k
Shuiguang Deng China 41 3.4k 0.9× 3.2k 1.1× 1.7k 0.7× 985 0.8× 869 0.9× 269 6.3k
Ejaz Ahmed Malaysia 39 5.0k 1.3× 2.6k 0.8× 1.4k 0.6× 2.1k 1.7× 963 1.0× 81 8.1k
Yaser Jararweh Jordan 53 4.3k 1.1× 3.7k 1.2× 3.6k 1.6× 1.7k 1.3× 1.3k 1.4× 340 9.8k
Shancang Li United Kingdom 28 4.2k 1.1× 2.3k 0.8× 1.6k 0.7× 2.0k 1.6× 1.0k 1.1× 77 8.1k
Moayad Aloqaily United Arab Emirates 43 3.2k 0.8× 2.4k 0.8× 2.0k 0.9× 2.0k 1.5× 575 0.6× 192 6.5k
Amir Masoud Rahmani Iran 48 5.6k 1.5× 3.5k 1.1× 1.7k 0.7× 1.5k 1.1× 751 0.8× 473 8.7k

Countries citing papers authored by Wanchun Dou

Since Specialization
Citations

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

Fields of papers citing papers by Wanchun Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanchun Dou

This figure shows the co-authorship network connecting the top 25 collaborators of Wanchun Dou. A scholar is included among the top collaborators of Wanchun Dou 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 Wanchun Dou. Wanchun Dou 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.
Hu, Chunhua, Xiaolong Xu, Haipeng Dai, et al.. (2025). Knowledge-Driven Reasoning for Compatible and Interpretable API Recommendation via Teacher LLM Distillation. ACM Transactions on Information Systems. 44(1). 1–30.
2.
He, Kan, Jian Wang, Xiaoliang Wang, et al.. (2025). Marlin: Enabling High-Throughput Congestion Control Testing in Large-Scale Networks. 460–474.
3.
Xu, Xiaolong, Lianyong Qi, Xuyun Zhang, et al.. (2024). CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation. 1589–1598. 14 indexed citations
4.
Zhang, Hang, Hao Tian, Cheng Chen, Chen Tian, & Wanchun Dou. (2024). A Blockchain-Assisted Federated Learning Method for Recommendation Systems. 58–65. 1 indexed citations
5.
Wen, Yiping, et al.. (2024). Edge intelligence empowered delivery route planning for handling changes in uncertain supply chain environment. Journal of Cloud Computing Advances Systems and Applications. 13(1). 2 indexed citations
6.
Tian, Hao, et al.. (2024). A Consortium Blockchain-Based Edge Task Offloading Method for Connected Autonomous Vehicles. ACM Transactions on Autonomous and Adaptive Systems. 20(3). 1–27.
7.
Xiang, Haolong, Xuyun Zhang, Xiaolong Xu, et al.. (2024). Federated Learning-Based Anomaly Detection with Isolation Forest in the IoT-Edge Continuum. ACM Transactions on Multimedia Computing Communications and Applications. 22(1). 1–19. 6 indexed citations
8.
Liu, Yuwen, et al.. (2023). A Novel Short-Term Traffic Prediction Model Based on SVD and ARIMA With Blockchain in Industrial Internet of Things. IEEE Internet of Things Journal. 10(24). 21217–21226. 41 indexed citations
9.
He, Qiang, et al.. (2023). EdgeAuth: An intelligent token‐based collaborative authentication scheme. Software Practice and Experience. 54(10). 2007–2024. 3 indexed citations
10.
Li, Guanghui, et al.. (2023). Thoth: Provisioning Over-Committed Memory Resource with Differentiated QoS in Public Clouds. 82–89. 1 indexed citations
11.
He, Xin, et al.. (2023). Adversarial Attacks on Large Language Model-Based System and Mitigating Strategies: A Case Study on ChatGPT. Security and Communication Networks. 2023. 1–10. 29 indexed citations
12.
Xiang, Haolong, Xuyun Zhang, Hongsheng Hu, et al.. (2023). OptIForest: Optimal Isolation Forest for Anomaly Detection. 2379–2387. 9 indexed citations
13.
Liu, Xiao, Shunmei Meng, Qianmu Li, et al.. (2023). Disentangled Hypergraph Collaborative Filtering for Social Recommendation. 475–482.
14.
Xu, Xiaolong, et al.. (2022). Privacy Preservation for Federated Learning With Robust Aggregation in Edge Computing. IEEE Internet of Things Journal. 10(8). 7343–7355. 29 indexed citations
15.
Dou, Wanchun, et al.. (2022). SeeMe: An intelligent edge server selection method for location‐aware business task computing over IIoT. Software Practice and Experience. 54(10). 1939–1956.
16.
Tian, Chen, et al.. (2022). Swing: Providing Long-Range Lossless RDMA via PFC-Relay. IEEE Transactions on Parallel and Distributed Systems. 34(1). 63–75. 14 indexed citations
17.
Dai, Haipeng, Xiaoyu Wang, Rong Gu, et al.. (2021). Placing Wireless Chargers With Limited Mobility. IEEE Transactions on Mobile Computing. 22(6). 3589–3603. 42 indexed citations
18.
Zhang, Jie, et al.. (2020). Service offloading oriented edge server placement in smart farming. Software Practice and Experience. 51(12). 2540–2557. 23 indexed citations
19.
Xu, Xiaolong, Shucun Fu, Wei Tian, et al.. (2018). Dynamic Resource Allocation for Load Balancing in Fog Environment. Wireless Communications and Mobile Computing. 2018(1). 158 indexed citations
20.
Dou, Wanchun, et al.. (2015). Parameters Adaption of Lebesgue Sampling-based Diagnosis and Prognosis for Li-ion Batteries. Annual Conference of the PHM Society. 7(1). 2 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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