Panqu Wang

2.1k total citations · 1 hit paper
6 papers, 1.4k citations indexed

About

Panqu Wang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Panqu Wang has authored 6 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Panqu Wang's work include Face Recognition and Perception (3 papers), Face recognition and analysis (3 papers) and Visual Attention and Saliency Detection (3 papers). Panqu Wang is often cited by papers focused on Face Recognition and Perception (3 papers), Face recognition and analysis (3 papers) and Visual Attention and Saliency Detection (3 papers). Panqu Wang collaborates with scholars based in United States. Panqu Wang's co-authors include Garrison W. Cottrell, Zehua Huang, Ding Liu, Ye Yuan, Pengfei Chen, Xiaodi Hou, L. Gauthier and Christopher Kanan and has published in prestigious journals such as Journal of Cognitive Neuroscience, Cognitive Science and Journal of Vision.

In The Last Decade

Panqu Wang

6 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Understanding Convolution for Semantic Segmentation

2018 1.4k citations Panqu Wang, Pengfei Chen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Panqu Wang United States	3	895	299	280	149	103	6	1.4k
Pengfei Chen China	10	994 1.1×	340 1.1×	302 1.1×	152 1.0×	106 1.0×	18	1.6k
Zehua Huang China	13	991 1.1×	334 1.1×	304 1.1×	154 1.0×	117 1.1×	16	1.8k
Kun Yu China	8	839 0.9×	267 0.9×	192 0.7×	118 0.8×	107 1.0×	15	1.2k
Tian-Xing Xu China	5	706 0.8×	347 1.2×	205 0.7×	128 0.9×	62 0.6×	12	1.5k
Quan Zhou China	22	1.1k 1.2×	537 1.8×	174 0.6×	144 1.0×	56 0.5×	102	1.7k
Xiangtai Li China	18	936 1.0×	347 1.2×	263 0.9×	70 0.5×	61 0.6×	58	1.6k
Yandong Tang China	23	1.5k 1.7×	237 0.8×	399 1.4×	77 0.5×	88 0.9×	151	2.1k
Yiquan Wu China	14	757 0.8×	223 0.7×	301 1.1×	89 0.6×	55 0.5×	50	1.3k
Pablo Martínez-González Spain	5	563 0.6×	234 0.8×	130 0.5×	95 0.6×	92 0.9×	8	1.3k

Countries citing papers authored by Panqu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Panqu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panqu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Panqu Wang. A scholar is included among the top collaborators of Panqu 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 Panqu Wang. Panqu 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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6 of 6 papers shown

1.

Wang, Panqu, Pengfei Chen, Ye Yuan, et al.. (2018). Understanding Convolution for Semantic Segmentation. 1451–1460. 1366 indexed citations breakdown →

2.

Wang, Panqu, L. Gauthier, & Garrison W. Cottrell. (2016). Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration. Journal of Cognitive Neuroscience. 28(4). 558–574. 13 indexed citations

3.

Wang, Panqu, Garrison W. Cottrell, & Christopher Kanan. (2015). Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields.. Cognitive Science. 2 indexed citations

4.

Wang, Panqu & Garrison W. Cottrell. (2015). The Deep Model. Journal of Vision. 15(12). 1091–1091. 1 indexed citations

5.

Wang, Panqu, L. Gauthier, & Garrison W. Cottrell. (2014). Experience Matters: Modeling the Relationship Between Face and Object Recognition. Cognitive Science. 36(36). 2 indexed citations

6.

Wang, Panqu & Garrison W. Cottrell. (2013). A Computational Model of the Development of Hemispheric Asymmetry of Face Processing. eScholarship (California Digital Library). 35(35). 5 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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