Jinkun Geng

456 total citations
34 papers, 331 citations indexed

About

Jinkun Geng is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Jinkun Geng has authored 34 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 15 papers in Information Systems and 11 papers in Artificial Intelligence. Recurrent topics in Jinkun Geng's work include Cloud Computing and Resource Management (10 papers), Advanced Neural Network Applications (8 papers) and Caching and Content Delivery (6 papers). Jinkun Geng is often cited by papers focused on Cloud Computing and Resource Management (10 papers), Advanced Neural Network Applications (8 papers) and Caching and Content Delivery (6 papers). Jinkun Geng collaborates with scholars based in China, United States and United Kingdom. Jinkun Geng's co-authors include Shuai Wang, Dan Li, Cheng Yang, Yue Gu, Junfeng Li, Dan Li, Dan Li, Shuai Wang, Yanshu Wang and Songtao Wang and has published in prestigious journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Parallel and Distributed Systems and Computer Networks.

In The Last Decade

Jinkun Geng

31 papers receiving 327 citations

Peers

Jinkun Geng
Luo Mai United Kingdom
Kamyar Mirzazad Barijough United States
Ziling Wei China
Zdeněk Martinásek Czechia
Engin Arslan United States
Utsav Drolia United States
Hui Qi China
Rajakumar Arul India
Jian-Jhih Kuo Taiwan
Luo Mai United Kingdom
Jinkun Geng
Citations per year, relative to Jinkun Geng Jinkun Geng (= 1×) peers Luo Mai

Countries citing papers authored by Jinkun Geng

Since Specialization
Citations

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

Fields of papers citing papers by Jinkun Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinkun Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Jinkun Geng. A scholar is included among the top collaborators of Jinkun Geng 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 Jinkun Geng. Jinkun Geng 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.
Geng, Jinkun, et al.. (2025). Network Support For Scalable And High Performance Cloud Exchanges. 1110–1131.
2.
Geng, Jinkun, et al.. (2024). A high-performance dataflow-centric optimization framework for deep learning inference on the edge. Journal of Systems Architecture. 152. 103180–103180. 3 indexed citations
3.
Geng, Jinkun, et al.. (2024). POSTER: Jasper, A Scalable and Fair Multicast for Financial Exchanges in the Cloud. 36–38. 1 indexed citations
4.
Li, Junfeng, Dan Li, Lin Du, et al.. (2023). Light: A Compatible, high-performance and scalable user-level network stack. Computer Networks. 229. 109756–109756.
5.
Geng, Jinkun, et al.. (2021). Impact of Synchronization Topology on DML Performance: Both Logical Topology and Physical Topology. IEEE/ACM Transactions on Networking. 30(2). 572–585. 13 indexed citations
6.
Geng, Jinkun, et al.. (2021). CloudEx. 96–103. 8 indexed citations
7.
Li, Junfeng, Dan Li, Wenfei Wu, et al.. (2021). Sphinx: A transport protocol for high-speed and lossy mobile networks. Computer Networks. 195. 108193–108193. 1 indexed citations
8.
Wang, Songtao, Dan Li, Cheng Yang, et al.. (2020). A Scalable, High-Performance, and Fault-Tolerant Network Architecture for Distributed Machine Learning. IEEE/ACM Transactions on Networking. 28(4). 1752–1764. 10 indexed citations
9.
Wang, Shuai, Dan Li, & Jinkun Geng. (2020). Geryon: Accelerating Distributed CNN Training by Network-Level Flow Scheduling. 46 indexed citations
10.
Li, Dan, et al.. (2020). Predicting Traffic Demand Matrix by Considering Inter-flow Correlations. 165–170. 13 indexed citations
11.
Cao, Buqing, et al.. (2020). Web services classification via combining Doc2Vec and LINE model. International Journal of Computational Science and Engineering. 23(3). 250–250. 1 indexed citations
12.
Wen, Yiping, et al.. (2020). Web services classification via combining Doc2Vec and LINE model. International Journal of Computational Science and Engineering. 23(3). 250–250. 1 indexed citations
13.
Wang, Shuai, Dan Li, Jinkun Geng, Yue Gu, & Cheng Yang. (2019). Impact of Network Topology on the Performance of DML: Theoretical Analysis and Practical Factors. 1729–1737. 36 indexed citations
14.
Li, Junfeng, Dan Li, Wenfei Wu, et al.. (2019). Sphinx: A Transport Protocol for High-Speed and Lossy Mobile Networks. 1–8. 2 indexed citations
15.
Geng, Jinkun, Dan Li, & Shuai Wang. (2019). Horizontal or Vertical?. 1–4. 11 indexed citations
16.
17.
Wang, Songtao, Dan Li, Cheng Yang, et al.. (2018). BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training. Neural Information Processing Systems. 31. 4238–4248. 17 indexed citations
18.
Li, Junfeng, et al.. (2018). Towards full virtualization of SDN infrastructure. Computer Networks. 143. 1–14. 8 indexed citations
19.
Geng, Jinkun & Ping Luo. (2016). A novel vulnerability prediction model to predict vulnerability loss based on probit regression. Wuhan University Journal of Natural Sciences. 21(3). 214–220. 3 indexed citations
20.
Geng, Jinkun. (2013). Status and Research of Software Reliability Models. Dianzi Ke-ji Daxue xuebao.

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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2026