Erke Shang

33 total papers · 513 total citations
25 papers, 376 citations indexed

About

Erke Shang is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Erke Shang has authored 25 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 15 papers in Automotive Engineering and 9 papers in Aerospace Engineering. Recurrent topics in Erke Shang's work include Autonomous Vehicle Technology and Safety (15 papers), Robotics and Sensor-Based Localization (9 papers) and Robotic Path Planning Algorithms (8 papers). Erke Shang is often cited by papers focused on Autonomous Vehicle Technology and Safety (15 papers), Robotics and Sensor-Based Localization (9 papers) and Robotic Path Planning Algorithms (8 papers). Erke Shang collaborates with scholars based in China. Erke Shang's co-authors include Xiangjing An, Bin Dai, Hangen He, Yiming Nie, Xiao Liang, Jian Li, Dawei Zhao, Jinze Song, Tao Wu and Qiping Yuan and has published in prestigious journals such as Sensors, Journal of Field Robotics and Journal of Intelligent & Robotic Systems.

In The Last Decade

Erke Shang

25 papers receiving 352 citations

Author Peers

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

Author						Papers	Cites
Erke Shang	281	167	121	91	47	25	376
Luis Yoichi Morales	198 0.7×	142 0.9×	202 1.7×	64 0.7×	67 1.4×	21	399
Tommy Chang	275 1.0×	122 0.7×	163 1.3×	57 0.6×	78 1.7×	40	438
Antonio Artuñedo	196 0.7×	276 1.7×	67 0.6×	148 1.6×	40 0.9×	35	420
Fabian Poggenhans	196 0.7×	209 1.3×	160 1.3×	61 0.7×	76 1.6×	11	395
Jay Gowdy	160 0.6×	139 0.8×	95 0.8×	73 0.8×	44 0.9×	17	388
Mohammad Aldibaja	196 0.7×	190 1.1×	178 1.5×	54 0.6×	105 2.2×	31	430
Xiaofeng Liu	214 0.8×	64 0.4×	143 1.2×	82 0.9×	29 0.6×	33	393
Pablo Marín	203 0.7×	129 0.8×	114 0.9×	88 1.0×	21 0.4×	32	404
Farzeen Munir	281 1.0×	249 1.5×	59 0.5×	30 0.3×	43 0.9×	29	435
Yalong Ma	280 1.0×	73 0.4×	117 1.0×	21 0.2×	36 0.8×	13	413

Countries citing papers authored by Erke Shang

Since Specialization

Citations

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

Fields of papers citing papers by Erke Shang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erke Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Erke Shang. A scholar is included among the top collaborators of Erke Shang 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 Erke Shang. Erke Shang 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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