Xin Cheng

48 total papers · 480 total citations
31 papers, 360 citations indexed

About

Xin Cheng is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Xin Cheng has authored 31 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 6 papers in Genetics. Recurrent topics in Xin Cheng's work include Venomous Animal Envenomation and Studies (6 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Probabilistic and Robust Engineering Design (5 papers). Xin Cheng is often cited by papers focused on Venomous Animal Envenomation and Studies (6 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Probabilistic and Robust Engineering Design (5 papers). Xin Cheng collaborates with scholars based in China, United States and Hong Kong. Xin Cheng's co-authors include Xufeng Yang, Tai Wang, Zeqing Liu, Taigang Liu, Liwen Niu, Min Guo, Jing Wang, Maikun Teng, Yuanyuan Duan and X. Lou and has published in prestigious journals such as Biochemistry, Cancer Research and Scientific Reports.

In The Last Decade

Xin Cheng

30 papers receiving 357 citations

Author Peers

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

Author						Papers	Cites
Xin Cheng	135	105	96	59	43	31	360
Heyrim Cho	93 0.7×	25 0.2×	89 0.9×	21 0.4×	24 0.6×	25	339
Lilianne Denis-Vidal	94 0.7×	12 0.1×	48 0.5×	39 0.7×	17 0.4×	35	348
Hongyi Guo	51 0.4×	24 0.2×	20 0.2×	18 0.3×	17 0.4×	40	303
Rayna Georgieva	49 0.4×	25 0.2×	62 0.6×	10 0.2×	29 0.7×	42	336
Xu-Qing Liu	77 0.6×	48 0.5×	18 0.2×	27 0.5×	7 0.2×	40	339
Edgar Dobriban	59 0.4×	42 0.4×	19 0.2×	9 0.2×	82 1.9×	35	376
David J. Warne	100 0.7×	39 0.4×	27 0.3×	26 0.4×	5 0.1×	36	403
C. C. Craig	11 0.1×	26 0.2×	38 0.4×	19 0.3×	5 0.1×	18	360
Qingzhen Zhang	99 0.7×	57 0.5×	9 0.1×	3 0.1×	14 0.3×	30	375
Lizhi Liu	56 0.4×	9 0.1×	9 0.1×	9 0.2×	11 0.3×	38	347

Countries citing papers authored by Xin Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Xin Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Cheng

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