Lifeng Sun

3.4k total citations
151 papers, 2.3k citations indexed

About

Lifeng Sun is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Lifeng Sun has authored 151 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 74 papers in Computer Networks and Communications and 23 papers in Signal Processing. Recurrent topics in Lifeng Sun's work include Image and Video Quality Assessment (61 papers), Caching and Content Delivery (57 papers) and Peer-to-Peer Network Technologies (43 papers). Lifeng Sun is often cited by papers focused on Image and Video Quality Assessment (61 papers), Caching and Content Delivery (57 papers) and Peer-to-Peer Network Technologies (43 papers). Lifeng Sun collaborates with scholars based in China, Canada and Hong Kong. Lifeng Sun's co-authors include Shiqiang Yang, Zhi Wang, Haitian Pang, Jiangchuan Liu, Rui-Xiao Zhang, Tianchi Huang, Wenwu Zhu, Chenglei Wu, Shiqiang Yang and Meng Zhang and has published in prestigious journals such as International Journal of Molecular Sciences, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Lifeng Sun

143 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lifeng Sun China	25	1.2k	1.0k	424	419	360	151	2.3k
Michael Zink United States	22	1.5k 1.2×	751 0.7×	360 0.8×	210 0.5×	383 1.1×	148	2.1k
Dan Lin United States	28	772 0.6×	509 0.5×	782 1.8×	1.0k 2.5×	474 1.3×	95	2.4k
Rocky K. C. Chang Hong Kong	21	1.6k 1.3×	814 0.8×	156 0.4×	857 2.0×	610 1.7×	115	2.2k
Panagiotis Karras Denmark	21	539 0.4×	339 0.3×	307 0.7×	1.0k 2.5×	463 1.3×	87	1.6k
Jeffrey Pang United States	26	1.8k 1.5×	433 0.4×	232 0.5×	394 0.9×	155 0.4×	39	2.4k
Wu-chang Feng United States	24	1.8k 1.5×	151 0.1×	248 0.6×	438 1.0×	197 0.5×	71	2.2k
Jun Xu United States	32	2.4k 2.0×	197 0.2×	345 0.8×	1.2k 2.9×	365 1.0×	132	2.9k
Ramón Cáceres United States	27	1.6k 1.3×	175 0.2×	753 1.8×	782 1.9×	241 0.7×	42	2.8k
Jeffrey Erman United States	21	2.0k 1.7×	430 0.4×	294 0.7×	1.3k 3.0×	477 1.3×	29	2.5k
Neil Zhenqiang Gong United States	32	691 0.6×	320 0.3×	993 2.3×	2.4k 5.7×	429 1.2×	93	3.2k

Countries citing papers authored by Lifeng Sun

Since Specialization

Citations

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

Fields of papers citing papers by Lifeng Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lifeng Sun

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sun, Lifeng, et al.. (2024). Driving on familiar roads? Development and validation of car drivers’ road user experience scale. Transportation Research Part F Traffic Psychology and Behaviour. 102. 468–475. 1 indexed citations

Zhou, Chao, et al.. (2024). Meet Challenges of RTT Jitter, A Hybrid Internet Congestion Control Algorithm. 2768–2776. 1 indexed citations

Zhou, Chao, et al.. (2024). Dancing with Shackles, Meet the Challenge of Industrial Adaptive Streaming via Offline Reinforcement Learning. 2169–2178. 1 indexed citations

Yang, Song, Fan Li, Liehuang Zhu, et al.. (2024). Incentive Mechanism for Resource Trading in Video Analytic Services Using Reinforcement Learning. IEEE Transactions on Services Computing. 17(6). 3803–3816.

Sun, Lifeng, et al.. (2023). Study on smart grid fault detection based on ZigBee and MapX technologies. Measurement. 224. 113859–113859. 5 indexed citations

Zhang, Rui-Xiao, et al.. (2023). Practical Cloud-Edge Scheduling for Large-Scale Crowdsourced Live Streaming. IEEE Transactions on Parallel and Distributed Systems. 34(7). 2055–2071. 4 indexed citations

Zhang, Rui-Xiao, et al.. (2023). Concerto: Client-server Orchestration for Real-Time Video Analytics. 9215–9223. 3 indexed citations

Huang, Tianchi, Rui-Xiao Zhang, Chenglei Wu, & Lifeng Sun. (2023). Optimizing Adaptive Video Streaming with Human Feedback. 1707–1718. 12 indexed citations

Huang, Tianchi, Chao Zhou, Rui-Xiao Zhang, Chenglei Wu, & Lifeng Sun. (2022). Learning Tailored Adaptive Bitrate Algorithms to Heterogeneous Network Conditions: A Domain-Specific Priors and Meta-Reinforcement Learning Approach. IEEE Journal on Selected Areas in Communications. 40(8). 2485–2503. 34 indexed citations

10.

Wang, Fangxin, Cong Zhang, Feng Wang, et al.. (2020). DeepCast: Towards Personalized QoE for Edge-Assisted Crowdcast With Deep Reinforcement Learning. IEEE/ACM Transactions on Networking. 28(3). 1255–1268. 27 indexed citations

11.

Zhang, Rui-Xiao, Ming Ma, Tianchi Huang, et al.. (2020). A Practical Learning-based Approach for Viewer Scheduling in the Crowdsourced Live Streaming. ACM Transactions on Multimedia Computing Communications and Applications. 16(2s). 1–22. 5 indexed citations

12.

Wang, Fangxin, Feng Wang, Jiangchuan Liu, Ryan Shea, & Lifeng Sun. (2020). Intelligent Video Caching at Network Edge: A Multi-Agent Deep Reinforcement Learning Approach. 2499–2508. 101 indexed citations

13.

Pang, Haitian, Jiangchuan Liu, Xiaoyi Fan, & Lifeng Sun. (2018). Toward Smart and Cooperative Edge Caching for 5G Networks: A Deep Learning Based Approach. 1–6. 56 indexed citations

14.

Yin, Shouyi, Dajiang Liu, Lifeng Sun, Leibo Liu, & Shaojun Wei. (2017). DFGNet: Mapping dataflow graph onto CGRA by a deep learning approach. 1–4. 15 indexed citations

15.

Jin, Yichao, et al.. (2017). Toward Wi-Fi AP-Assisted Content Prefetching for an On-Demand TV Series: A Learning-Based Approach. IEEE Transactions on Circuits and Systems for Video Technology. 28(7). 1665–1676. 20 indexed citations

16.

Wang, Zhi, et al.. (2015). Path-aware peer-assisted web content delivery against network failures. 79–80. 2 indexed citations

17.

Wang, Zhi, Lifeng Sun, Chuan Wu, Wenwu Zhu, & Shiqiang Yang. (2014). Joint online transcoding and geo-distributed delivery for dynamic adaptive streaming. The HKU Scholars Hub (University of Hong Kong). 91–99. 42 indexed citations

18.

Rui, Yong, et al.. (2008). Topic mining on web-shared videos. 2145–2148. 6 indexed citations

19.

Sun, Lifeng, et al.. (1997). Assessment of Plutonium Exposure in the Enewetak Population by Urinalysis. Health Physics. 73(1). 127–132. 8 indexed citations

20.

Sun, Lifeng, et al.. (1995). Assessment of plutonium exposures in Rongelap and Utirik populations by fission track analysis of urine. Applied Radiation and Isotopes. 46(11). 1259–1269. 9 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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