Yinglong Li

63 total papers · 877 total citations
29 papers, 655 citations indexed

About

Yinglong Li is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yinglong Li has authored 29 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Yinglong Li's work include Energy Efficient Wireless Sensor Networks (8 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers) and Human Mobility and Location-Based Analysis (4 papers). Yinglong Li is often cited by papers focused on Energy Efficient Wireless Sensor Networks (8 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers) and Human Mobility and Location-Based Analysis (4 papers). Yinglong Li collaborates with scholars based in China, United Kingdom and United States. Yinglong Li's co-authors include Tengfei Xu, Jianrong Gao, Renrong Liu, Yi‐Xia Jia, Chong Shen, Mingqi Lv, Gangguo Zhu, Zhenxing Xu, Ling Chen and Gencai Chen and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Organic Letters.

In The Last Decade

Yinglong Li

26 papers receiving 636 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yinglong Li	351	80	74	70	61	29	655
Yi Zhao	113 0.3×	73 0.9×	24 0.3×	75 1.1×	207 3.4×	30	636
Wenping Zou	269 0.8×	256 3.2×	44 0.6×	25 0.4×	64 1.0×	22	679
Weifeng Chen	69 0.2×	130 1.6×	20 0.3×	48 0.7×	261 4.3×	26	565
Arindam Dey	79 0.2×	140 1.8×	10 0.1×	45 0.6×	26 0.4×	35	623
Zheng Zhang	45 0.1×	215 2.7×	5 0.1×	39 0.6×	82 1.3×	29	574
A. Kadyrov	110 0.3×	67 0.8×	71 1.0×	83 1.2×	451 7.4×	47	716
E. F. Miller	146 0.4×	58 0.7×	39 0.5×	18 0.3×	4 0.1×	43	579
Xing Wang	27 0.1×	217 2.7×	58 0.8×	19 0.3×	152 2.5×	60	554
Qingyun Liu	117 0.3×	52 0.7×	35 0.5×	18 0.3×	23 0.4×	32	624
Jie Chen	40 0.1×	110 1.4×	3 0.0×	20 0.3×	49 0.8×	49	571

Countries citing papers authored by Yinglong Li

Since Specialization

Citations

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

Fields of papers citing papers by Yinglong Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinglong Li

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

All Works

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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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