Weiqi Liang

14 total papers · 435 total citations
10 papers, 309 citations indexed

About

Weiqi Liang is a scholar working on Health, Toxicology and Mutagenesis, Plant Science and Molecular Biology. According to data from OpenAlex, Weiqi Liang has authored 10 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health, Toxicology and Mutagenesis, 3 papers in Plant Science and 2 papers in Molecular Biology. Recurrent topics in Weiqi Liang's work include Evolutionary Algorithms and Applications (2 papers), COVID-19 Pandemic Impacts (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Weiqi Liang is often cited by papers focused on Evolutionary Algorithms and Applications (2 papers), COVID-19 Pandemic Impacts (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Weiqi Liang collaborates with scholars based in China and Canada. Weiqi Liang's co-authors include Zhengping Liang, Zexuan Zhu, Cheng Liu, Линг Лиу, Xiaoliang Ma, Zhi-Qiang Wang, Tian Tang, Qibin Li, Zhijia Fang and Hongqing Li and has published in prestigious journals such as Journal of Cleaner Production, Food Chemistry and New Phytologist.

In The Last Decade

Weiqi Liang

9 papers receiving 305 citations

Author Peers

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

Author						Papers	Cites
Weiqi Liang	141	122	51	46	31	10	309
Kexin Sun	56 0.4×	23 0.2×	33 0.6×	13 0.3×	34 1.1×	19	314
Minshi Chen	41 0.3×	29 0.2×	70 1.4×	21 0.5×	38 1.2×	16	356
Jinfeng Cheng	237 1.7×	96 0.8×	18 0.4×	19 0.4×	2 0.1×	12	347
Wenxiang Wang	40 0.3×	36 0.3×	43 0.8×	38 0.8×		21	215
Changjian Zhou	46 0.3×	23 0.2×	29 0.6×	236 5.1×	22 0.7×	13	356
Yi Fang	47 0.3×	8 0.1×	31 0.6×	14 0.3×	25 0.8×	21	352
Julio L. Peixoto	44 0.3×	27 0.2×	36 0.7×	17 0.4×	3 0.1×	15	339
Yaniv Bernstein	131 0.9×	6 0.0×	64 1.3×	17 0.4×	10 0.3×	9	316
Wajid Arshad Abbasi	104 0.7×	28 0.2×	91 1.8×	47 1.0×	2 0.1×	16	309
Qi Yao	35 0.2×	12 0.1×	31 0.6×	21 0.5×	13 0.4×	19	285

Countries citing papers authored by Weiqi Liang

Since Specialization

Citations

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

Fields of papers citing papers by Weiqi Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiqi Liang

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