Pengchong Wang

61 total papers · 968 total citations
47 papers, 707 citations indexed

About

Pengchong Wang is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Pengchong Wang has authored 47 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Clinical Psychology, 13 papers in Experimental and Cognitive Psychology and 11 papers in Cognitive Neuroscience. Recurrent topics in Pengchong Wang's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (13 papers), Obsessive-Compulsive Spectrum Disorders (11 papers) and Functional Brain Connectivity Studies (5 papers). Pengchong Wang is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (13 papers), Obsessive-Compulsive Spectrum Disorders (11 papers) and Functional Brain Connectivity Studies (5 papers). Pengchong Wang collaborates with scholars based in China, Australia and United States. Pengchong Wang's co-authors include Jianfeng Xing, Bao‐Xiang Zhao, Jun‐Ying Miao, Yalin Dong, Xi Dai, Yu Xu, Shengqing Wang, Jie Tian, Qinghua Wu and Lingling Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and ACS Applied Materials & Interfaces.

In The Last Decade

Pengchong Wang

40 papers receiving 698 citations

Author Peers

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

Author						Papers	Cites
Pengchong Wang	189	122	119	108	83	47	707
Bolun Li	163 0.9×	98 0.8×	46 0.4×	42 0.4×	78 0.9×	62	727
Xiwen Geng	150 0.8×	83 0.7×	17 0.1×	18 0.2×	94 1.1×	48	756
Ying Zhao	304 1.6×	77 0.6×	35 0.3×	73 0.7×	53 0.6×	55	830
Dae-Yeon Cho	358 1.9×	64 0.5×	13 0.1×	25 0.2×	128 1.5×	41	723
Aiguo Tang	292 1.5×	19 0.2×	53 0.4×	23 0.2×	51 0.6×	44	763
Lingna Wang	338 1.8×	157 1.3×	40 0.3×	15 0.1×	226 2.7×	29	869
Keyi Li	220 1.2×	67 0.5×	21 0.2×	23 0.2×	252 3.0×	69	749
Guobin Huang	193 1.0×	162 1.3×	24 0.2×	19 0.2×	78 0.9×	47	768
Xiaopeng Huang	136 0.7×	134 1.1×	20 0.2×	28 0.3×	45 0.5×	38	685
Lu Liu	301 1.6×	117 1.0×	54 0.5×	16 0.1×	64 0.8×	58	861

Countries citing papers authored by Pengchong Wang

Since Specialization

Citations

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

Fields of papers citing papers by Pengchong Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengchong Wang

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