Pengzhou Zhang

82 total papers · 412 total citations
52 papers, 231 citations indexed

About

Pengzhou Zhang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pengzhou Zhang has authored 52 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 14 papers in Information Systems and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pengzhou Zhang's work include Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers) and Advanced Text Analysis Techniques (9 papers). Pengzhou Zhang is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers) and Advanced Text Analysis Techniques (9 papers). Pengzhou Zhang collaborates with scholars based in China, Taiwan and Canada. Pengzhou Zhang's co-authors include Yuan Hui, Song Qing, Qing Song, Biao Huang, Yang Yang, Wen Ren, Xue Liu, Chi Zhang, Yue Tan and Yanfeng Wang and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Pengzhou Zhang

41 papers receiving 218 citations

Author Peers

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

Author						Papers	Cites
Pengzhou Zhang	150	52	45	22	13	52	231
Pu Li	162 1.1×	96 1.8×	55 1.2×	15 0.7×	11 0.8×	41	305
Xiaoyu Li	197 1.3×	29 0.6×	30 0.7×	24 1.1×	7 0.5×	51	258
Mohsen Maraoui	190 1.3×	84 1.6×	26 0.6×	23 1.0×	10 0.8×	43	257
Jyothisha J. Nair	130 0.9×	32 0.6×	69 1.5×	15 0.7×	7 0.5×	49	300
Ayad R. Abbas	107 0.7×	46 0.9×	47 1.0×	21 1.0×	18 1.4×	44	211
Frimpong Twum	70 0.5×	52 1.0×	36 0.8×	18 0.8×	11 0.8×	45	247
Ján Staš	131 0.9×	30 0.6×	25 0.6×	36 1.6×	5 0.4×	44	189
Marián Mach	86 0.6×	35 0.7×	36 0.8×	15 0.7×	22 1.7×	39	190
Meshrif Alruily	169 1.1×	62 1.2×	57 1.3×	15 0.7×	17 1.3×	32	304
Jefrey Lijffijt	138 0.9×	54 1.0×	48 1.1×	49 2.2×	21 1.6×	50	331

Countries citing papers authored by Pengzhou Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Pengzhou Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengzhou Zhang

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