Jinpeng Wang

108 total papers · 1.5k total citations
58 papers, 790 citations indexed

About

Jinpeng Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jinpeng Wang has authored 58 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 31 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Jinpeng Wang's work include Multimodal Machine Learning Applications (15 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Topic Modeling (11 papers). Jinpeng Wang is often cited by papers focused on Multimodal Machine Learning Applications (15 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Topic Modeling (11 papers). Jinpeng Wang collaborates with scholars based in China, United States and Singapore. Jinpeng Wang's co-authors include Chin-Yew Lin, Ji-Rong Wen, Yifan Li, Yifan Du, Rong Pan, J. Andy, Jin-Ge Yao, Zekun Li, Feng Jiang and Shuang Chen and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Jinpeng Wang

52 papers receiving 758 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Jinpeng Wang	495	448	64	31	29	58	790
Maofu Liu	355 0.7×	376 0.8×	68 1.1×	38 1.2×	19 0.7×	59	829
Da-Cheng Juan	348 0.7×	168 0.4×	48 0.8×	28 0.9×	28 1.0×	48	840
Manuel Montes	474 1.0×	366 0.8×	71 1.1×	28 0.9×	14 0.5×	33	785
Peng Xu	685 1.4×	173 0.4×	81 1.3×	45 1.5×	15 0.5×	54	892
Lei Meng	340 0.7×	324 0.7×	92 1.4×	39 1.3×	27 0.9×	60	638
Linbo Qiao	425 0.9×	386 0.9×	140 2.2×	43 1.4×	19 0.7×	56	899
Faliang Huang	389 0.8×	148 0.3×	131 2.0×	34 1.1×	26 0.9×	50	686
Eisaku Maeda	515 1.0×	265 0.6×	131 2.0×	57 1.8×	42 1.4×	47	741
Bin Shen	215 0.4×	443 1.0×	62 1.0×	49 1.6×	21 0.7×	51	687
Hao Wang	380 0.8×	365 0.8×	109 1.7×	75 2.4×	17 0.6×	51	838

Countries citing papers authored by Jinpeng Wang

Since Specialization

Citations

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

Fields of papers citing papers by Jinpeng Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinpeng Wang

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