Like Zhang

73 total papers · 705 total citations
44 papers, 465 citations indexed

About

Like Zhang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Like Zhang has authored 44 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Like Zhang's work include Artificial Intelligence in Games (4 papers), Network Security and Intrusion Detection (4 papers) and Advanced Malware Detection Techniques (4 papers). Like Zhang is often cited by papers focused on Artificial Intelligence in Games (4 papers), Network Security and Intrusion Detection (4 papers) and Advanced Malware Detection Techniques (4 papers). Like Zhang collaborates with scholars based in China, United States and Japan. Like Zhang's co-authors include Gregory B. White, Chaoshu Tang, Dechun Liu, Xiangjun Zeng, Jianjun Yang, Jian Zhang, Jianguang Wang, Junbao Du, Yanbin Chen and Hong Zhao and has published in prestigious journals such as Scientific Reports, Oncotarget and Cellular Signalling.

In The Last Decade

Like Zhang

39 papers receiving 448 citations

Author Peers

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

Author						Papers	Cites
Like Zhang	164	103	90	58	52	44	465
Weizhi Zhang	361 2.2×	69 0.7×	30 0.3×	38 0.7×	18 0.3×	42	523
Xiulan Liu	161 1.0×	43 0.4×	30 0.3×	47 0.8×	26 0.5×	32	527
Yao Liu	227 1.4×	51 0.5×	18 0.2×	17 0.3×	54 1.0×	37	540
Susan A. MacKenzie	221 1.3×	57 0.6×	73 0.8×	81 1.4×	107 2.1×	22	518
Junhao Lu	240 1.5×	61 0.6×	58 0.6×	17 0.3×	83 1.6×	33	513
Jihui Chen	217 1.3×	42 0.4×	37 0.4×	16 0.3×	14 0.3×	35	531
Hongmei Ren	254 1.5×	30 0.3×	35 0.4×	26 0.4×	35 0.7×	51	548
Muralidhara Padigaru	226 1.4×	106 1.0×	15 0.2×	38 0.7×	34 0.7×	43	469
Hannelore Böhme	229 1.4×	34 0.3×	35 0.4×	32 0.6×	44 0.8×	30	540
Zhaoxing Li	227 1.4×	72 0.7×	11 0.1×	19 0.3×	39 0.8×	53	515

Countries citing papers authored by Like Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Like Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Like Zhang

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