Guangmin Liang

26 total papers · 503 total citations
14 papers, 395 citations indexed

About

Guangmin Liang is a scholar working on Molecular Biology, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Guangmin Liang has authored 14 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in Guangmin Liang's work include Machine Learning in Bioinformatics (6 papers), Genomics and Phylogenetic Studies (3 papers) and RNA and protein synthesis mechanisms (2 papers). Guangmin Liang is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), Genomics and Phylogenetic Studies (3 papers) and RNA and protein synthesis mechanisms (2 papers). Guangmin Liang collaborates with scholars based in China, Taiwan and United Kingdom. Guangmin Liang's co-authors include Lei Xu, Changrui Liao, Chi‐Chang Chang, Gin‐Den Chen, Longjie Wang, Weiran Cao, Yu Zhang, Shengdong Zhang, Congwei Liao and Xu Tan and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and IEEE Electron Device Letters.

In The Last Decade

Guangmin Liang

13 papers receiving 390 citations

Author Peers

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

Author						Papers	Cites
Guangmin Liang	301	65	33	31	30	14	395
Ali Ghulam	248 0.8×	91 1.4×	30 0.9×	30 1.0×	10 0.3×	30	364
Huang Cheng-bing	188 0.6×	47 0.7×	54 1.6×	20 0.6×	14 0.5×	10	356
Yixiao Zhai	254 0.8×	47 0.7×	21 0.6×	16 0.5×	5 0.2×	15	334
Ch. Madhu Babu	191 0.6×	218 3.4×	53 1.6×	8 0.3×	12 0.4×	15	429
Zhaozhao Li	209 0.7×	17 0.3×	14 0.4×	7 0.2×	16 0.5×	11	422
Ronesh Sharma	259 0.9×	25 0.4×	20 0.6×	7 0.2×	38 1.3×	17	375
Xiangeng Wang	324 1.1×	189 2.9×	31 0.9×	23 0.7×	6 0.2×	17	444
Zhibo Yang	103 0.3×	128 2.0×	54 1.6×	3 0.1×	11 0.4×	18	394
Yue Yang	196 0.7×	91 1.4×	75 2.3×	2 0.1×	12 0.4×	23	350
Dukka B. KC	210 0.7×	27 0.4×	77 2.3×	9 0.3×	11 0.4×	21	359

Countries citing papers authored by Guangmin Liang

Since Specialization

Citations

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

Fields of papers citing papers by Guangmin Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangmin Liang

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