X.-S. Zhang

408 total citations
7 papers, 290 citations indexed

About

X.-S. Zhang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, X.-S. Zhang has authored 7 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in X.-S. Zhang's work include Bioinformatics and Genomic Networks (4 papers), Gene Regulatory Network Analysis (3 papers) and Gene expression and cancer classification (3 papers). X.-S. Zhang is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Gene Regulatory Network Analysis (3 papers) and Gene expression and cancer classification (3 papers). X.-S. Zhang collaborates with scholars based in China and Japan. X.-S. Zhang's co-authors include Rui‐Sheng Wang, Ziyi Li, Zhi‐Pan Liu, Lan Chen, L.‐W. Antony Chen, Sheng Zhang, Wei Zhou, Liangbiao Chen, Xin Ning and Yan Qiu and has published in prestigious journals such as The European Physical Journal B, Protein Engineering Design and Selection and Computer applications in the biosciences.

In The Last Decade

X.-S. Zhang

7 papers receiving 281 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
X.-S. Zhang China	7	248	82	68	20	17	7	290
H. Yu China	8	174 0.7×	25 0.3×	46 0.7×	9 0.5×	15 0.9×	19	291
Steffen Schaper Germany	7	170 0.7×	115 1.4×	62 0.9×	20 1.0×	13 0.8×	11	283
Haicang Zhang China	9	258 1.0×	105 1.3×	36 0.5×	14 0.7×	42 2.5×	20	351
Dominik M. Wittmann Germany	6	256 1.0×	31 0.4×	59 0.9×	10 0.5×	3 0.2×	10	311
Jessica Ebert United States	5	140 0.6×	33 0.4×	21 0.3×	12 0.6×	30 1.8×	6	241
Dimitri Guala Sweden	9	252 1.0×	52 0.6×	56 0.8×	6 0.3×	3 0.2×	21	307
Eric Venner United States	10	165 0.7×	76 0.9×	36 0.5×	19 0.9×	10 0.6×	20	264
Vladimir Rynkov United States	3	202 0.8×	24 0.3×	34 0.5×	7 0.3×	5 0.3×	3	256
Alexey Strokach Canada	5	188 0.8×	27 0.3×	48 0.7×	17 0.8×	45 2.6×	6	241
Mary Jane Cunningham United States	6	191 0.8×	24 0.3×	26 0.4×	17 0.8×	11 0.6×	11	305

Countries citing papers authored by X.-S. Zhang

Since Specialization

Citations

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

Fields of papers citing papers by X.-S. Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of X.-S. Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of X.-S. Zhang. A scholar is included among the top collaborators of X.-S. 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 X.-S. Zhang. X.-S. Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Liu, Zhi‐Pan, et al.. (2012). Prediction of hot spots in protein interfaces using a random forest model with hybrid features. Protein Engineering Design and Selection. 25(3). 119–126. 48 indexed citations

2.

Zhang, X.-S., et al.. (2012). Network-based analysis of complex diseases. IET Systems Biology. 6(1). 22–33. 66 indexed citations

3.

Qiu, Yan, et al.. (2009). Identifying differentially expressed pathways via a mixed integer linear programming model. IET Systems Biology. 3(6). 475–486. 16 indexed citations

4.

Wang, Rui‐Sheng, et al.. (2009). Detecting drug targets with minimum side effects in metabolic networks. IET Systems Biology. 3(6). 523–533. 20 indexed citations

5.

Zhang, Sheng, Xin Ning, & X.-S. Zhang. (2007). Graph kernels, hierarchical clustering, and network community structure: experiments and comparative analysis. The European Physical Journal B. 57(1). 67–74. 18 indexed citations

6.

Wang, Rui‐Sheng, et al.. (2005). Haplotype reconstruction from SNP fragments by minimum error correction. Computer applications in the biosciences. 21(10). 2456–2462. 97 indexed citations

7.

Zhou, Wei, et al.. (2005). A parsimonious tree-grow method for haplotype inference. Computer applications in the biosciences. 21(17). 3475–3481. 25 indexed citations

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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