Mingyong Pang

102 total papers · 675 total citations
54 papers, 433 citations indexed

About

Mingyong Pang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Mingyong Pang has authored 54 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 21 papers in Computational Mechanics and 18 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Mingyong Pang's work include 3D Shape Modeling and Analysis (20 papers), Computer Graphics and Visualization Techniques (18 papers) and Advanced Numerical Analysis Techniques (9 papers). Mingyong Pang is often cited by papers focused on 3D Shape Modeling and Analysis (20 papers), Computer Graphics and Visualization Techniques (18 papers) and Advanced Numerical Analysis Techniques (9 papers). Mingyong Pang collaborates with scholars based in China, Hong Kong and Singapore. Mingyong Pang's co-authors include Ruibin Zhao, Caixia Liu, Mingqiang Wei, Wanli Xie, Jun Wang, Jing Qin, Yuhui Shi, Wai‐Man Pang, Charlie C. L. Wang and Peng Zhu and has published in prestigious journals such as Sensors, International Journal of Remote Sensing and Medical Physics.

In The Last Decade

Mingyong Pang

46 papers receiving 411 citations

Author Peers

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

Author						Papers	Cites
Mingyong Pang	129	128	117	111	77	54	433
Weiquan Liu	128 1.0×	155 1.2×	167 1.4×	97 0.9×	56 0.7×	50	494
Gerd Reis	23 0.2×	53 0.4×	187 1.6×	55 0.5×	71 0.9×	31	476
Guofeng Tong	80 0.6×	76 0.6×	173 1.5×	60 0.5×	63 0.8×	44	453
Agustín Trujillo	74 0.6×	69 0.5×	149 1.3×	53 0.5×	16 0.2×	30	424
Zizhao Wu	66 0.5×	108 0.8×	227 1.9×	189 1.7×	36 0.5×	47	430
Xun Xu	121 0.9×	140 1.1×	249 2.1×	164 1.5×	16 0.2×	28	492
Xinwei He	49 0.4×	77 0.6×	236 2.0×	104 0.9×	50 0.6×	22	461
Yanfei Su	115 0.9×	65 0.5×	125 1.1×	55 0.5×	10 0.1×	30	433
J.J. Villanueva	21 0.2×	23 0.2×	341 2.9×	23 0.2×	67 0.9×	34	453
Regina Pohle-Fröhlich	31 0.2×	31 0.2×	221 1.9×	13 0.1×	100 1.3×	40	396

Countries citing papers authored by Mingyong Pang

Since Specialization

Citations

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

Fields of papers citing papers by Mingyong Pang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyong Pang

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