Ruofan Jin

819 total citations
23 papers, 576 citations indexed

About

Ruofan Jin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Ruofan Jin has authored 23 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 12 papers in Electrical and Electronic Engineering and 3 papers in Automotive Engineering. Recurrent topics in Ruofan Jin's work include Electric Vehicles and Infrastructure (4 papers), Wireless Networks and Protocols (4 papers) and Wireless Communication Networks Research (4 papers). Ruofan Jin is often cited by papers focused on Electric Vehicles and Infrastructure (4 papers), Wireless Networks and Protocols (4 papers) and Wireless Communication Networks Research (4 papers). Ruofan Jin collaborates with scholars based in United States, China and United Kingdom. Ruofan Jin's co-authors include Bing Wang, Yanyuan Qin, Wei Wei, Kyoungwon Suh, Bing Wang, Chaoqun Yue, Ping Yi, Ting Zhu, Peng Zhang and Lingyu Ren and has published in prestigious journals such as IEEE Transactions on Smart Grid, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Ruofan Jin

22 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruofan Jin United States 11 290 245 121 99 88 23 576
Jyoti Grover India 15 305 1.1× 334 1.4× 46 0.4× 35 0.4× 63 0.7× 40 502
Shereen Ismail United States 15 145 0.5× 305 1.2× 26 0.2× 31 0.3× 57 0.6× 44 539
Manjunath R Kounte India 11 104 0.4× 138 0.6× 42 0.3× 119 1.2× 64 0.7× 51 449
Sungkwon Park South Korea 10 135 0.5× 231 0.9× 43 0.4× 65 0.7× 28 0.3× 88 427
Tobias Hoppe Germany 9 189 0.7× 139 0.6× 44 0.4× 36 0.4× 83 0.9× 30 382
Shahab Tayeb United States 12 89 0.3× 166 0.7× 43 0.4× 39 0.4× 71 0.8× 35 336
Yifei Zou China 15 198 0.7× 417 1.7× 24 0.2× 54 0.5× 29 0.3× 74 719
Mahdi Aiash United Kingdom 14 192 0.7× 686 2.8× 76 0.6× 53 0.5× 161 1.8× 64 818
Hyame Assem Alameddine Canada 13 304 1.0× 649 2.6× 32 0.3× 72 0.7× 34 0.4× 23 775
Sriram Sankaran India 13 153 0.5× 422 1.7× 63 0.5× 49 0.5× 104 1.2× 70 667

Countries citing papers authored by Ruofan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ruofan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruofan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Ruofan Jin. A scholar is included among the top collaborators of Ruofan Jin 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 Ruofan Jin. Ruofan Jin 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.
Dai, Mingjun, et al.. (2025). FedConsDG: Divergence-Aware Federated Distillation via Consensus-Diversity Generative Learning. IEEE Transactions on Network Science and Engineering. 13. 3960–3974.
2.
Zhang, Xujun, Odin Zhang, Guangyong Chen, et al.. (2024). Highly Accurate and Efficient Deep Learning Paradigm for Full-Atom Protein Loop Modeling with KarmaLoop. Research. 7. 408–408. 1 indexed citations
3.
Zhang, Xujun, Chao Shen, Odin Zhang, et al.. (2023). Comprehensive assessment of protein loop modeling programs on large-scale datasets: prediction accuracy and efficiency. Briefings in Bioinformatics. 25(1). 9 indexed citations
4.
Wang, Jike, Yundian Zeng, Huiyong Sun, et al.. (2023). Molecular Generation with Reduced Labeling through Constraint Architecture. Journal of Chemical Information and Modeling. 63(11). 3319–3327. 7 indexed citations
5.
Liu, Jingjing, Donghong Chen, Zhongxia Chen, et al.. (2022). Out of the Himalaya-Hengduan Mountains: Phylogenomics, biogeography and diversification of Polygonatum Mill. (Asparagaceae) in the Northern Hemisphere. Molecular Phylogenetics and Evolution. 169. 107431–107431. 50 indexed citations
6.
Morillo, Reynaldo, Yanyuan Qin, Alexander Russell, et al.. (2020). Asynchronous Neighbor Discovery on Duty-Cycled Mobile Devices: Models and Schedules. IEEE Transactions on Wireless Communications. 19(8). 5204–5217. 9 indexed citations
7.
Luo, Jianping, Jiqiang Feng, & Ruofan Jin. (2019). A New Approach to Building the Gaussian Process Model for Expensive Multi-objective Optimization. 7. 374–379. 1 indexed citations
8.
Qin, Yanyuan, Ruofan Jin, Shuai Hao, et al.. (2019). A Control Theoretic Approach to ABR Video Streaming: A Fresh Look at PID-Based Rate Adaptation. IEEE Transactions on Mobile Computing. 19(11). 2505–2519. 17 indexed citations
9.
Ren, Lingyu, Yanyuan Qin, Bing Wang, et al.. (2017). Enabling resilient microgrid through programmable network. 1–1. 2 indexed citations
10.
Qin, Yanyuan, Ruofan Jin, Shuai Hao, et al.. (2017). A control theoretic approach to ABR video streaming: A fresh look at PID-based rate adaptation. 34 indexed citations
11.
Yi, Ping, et al.. (2016). Deploying Energy Routers in an Energy Internet Based on Electric Vehicles. IEEE Transactions on Vehicular Technology. 65(6). 4714–4725. 97 indexed citations
12.
Jin, Ruofan, Bing Wang, Wei Wei, et al.. (2015). Detecting Node Failures in Mobile Wireless Networks: A Probabilistic Approach. IEEE Transactions on Mobile Computing. 15(7). 1647–1660. 10 indexed citations
13.
Jin, Ruofan, et al.. (2015). Optimal centralized renewable energy transfer scheduling for electrical vehicles. 247–252. 1 indexed citations
14.
Russell, Alexander, et al.. (2015). Asynchronous Neighbor Discovery on Duty-cycled Mobile Devices. 47–56. 15 indexed citations
15.
Jin, Ruofan. (2015). Enhancing Upper-level Performance from Below: Performance Measurement and Optimization in LTE Networks. OpenCommons - UConn (University of Connecticut). 5 indexed citations
16.
Jin, Ruofan, Bing Wang, Song Han, et al.. (2015). Optimal renewable energy transfer via electrical vehicles. 1–5. 13 indexed citations
17.
Jin, Ruofan & Bing Wang. (2013). Malware Detection for Mobile Devices Using Software-Defined Networking. 47 indexed citations
18.
Chen, Xian, et al.. (2012). Network performance of smart mobile handhelds in a university campus WiFi network. 315–328. 51 indexed citations
19.
Jin, Ruofan, et al.. (2012). Decentralised online charging scheduling for large populations of electric vehicles: a cyber-physical system approach. International Journal of Parallel Emergent and Distributed Systems. 28(1). 29–45. 33 indexed citations
20.
Jin, Ruofan, David Grace, & Paul Mitchell. (2011). Cognitive UWB spectrum sharing and power allocation in a multipath fading channel. 20. 497–501. 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.

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