Pei Wang

4.8k total citations · 1 hit paper
170 papers, 2.9k citations indexed

About

Pei Wang is a scholar working on Molecular Biology, Plant Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Pei Wang has authored 170 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 41 papers in Plant Science and 35 papers in Statistical and Nonlinear Physics. Recurrent topics in Pei Wang's work include Gene Regulatory Network Analysis (21 papers), Bioinformatics and Genomic Networks (20 papers) and Complex Network Analysis Techniques (18 papers). Pei Wang is often cited by papers focused on Gene Regulatory Network Analysis (21 papers), Bioinformatics and Genomic Networks (20 papers) and Complex Network Analysis Techniques (18 papers). Pei Wang collaborates with scholars based in China, United States and Australia. Pei Wang's co-authors include Jinhu Lü, Xinghuo Yu, Shuang Xu, Suo‐Min Wang, Peng Gao, Qing Ma, Yuejin Tan, Gerhard Reinelt, Chunzhi Zhang and Sanwen Huang and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Pei Wang

165 papers receiving 2.9k citations

Hit Papers

Genome evolution and diversity of wild and cultivated pot... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei Wang China 30 1.1k 823 490 393 271 170 2.9k
Lorenzo Farina Italy 29 544 0.5× 1.6k 2.0× 282 0.6× 815 2.1× 105 0.4× 104 5.2k
Julio R. Banga Spain 47 223 0.2× 3.6k 4.4× 340 0.7× 202 0.5× 474 1.7× 214 7.3k
Guy‐Bart Stan United Kingdom 31 305 0.3× 2.2k 2.7× 205 0.4× 637 1.6× 546 2.0× 112 3.7k
Jing Feng China 36 293 0.3× 3.3k 4.0× 226 0.5× 121 0.3× 335 1.2× 168 4.6k
Ping Liu China 23 468 0.4× 320 0.4× 126 0.3× 99 0.3× 90 0.3× 85 1.6k
Antonio A. Alonso Spain 33 107 0.1× 1.0k 1.2× 317 0.6× 156 0.4× 84 0.3× 140 3.3k
Preetam Ghosh United States 30 115 0.1× 1.4k 1.7× 107 0.2× 327 0.8× 173 0.6× 215 3.3k
Daniel Ashlock Canada 24 646 0.6× 781 0.9× 223 0.5× 69 0.2× 548 2.0× 227 2.7k
Giacomo Innocenti Italy 19 204 0.2× 229 0.3× 408 0.8× 243 0.6× 23 0.1× 99 1.3k
H. V. Henderson New Zealand 24 194 0.2× 346 0.4× 56 0.1× 78 0.2× 470 1.7× 68 2.7k

Countries citing papers authored by Pei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Wang

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

All Works

20 of 20 papers shown
1.
Wang, Pei, Fei Liu, Yongfeng Wang, et al.. (2025). Deciphering crucial salt-responsive genes in Brassica napus via statistical modeling and network analysis on dynamic transcriptomic data. Plant Physiology and Biochemistry. 220. 109568–109568. 3 indexed citations
2.
Miljkovic, Tatjana & Pei Wang. (2025). A dimension reduction assisted credit scoring method for big data with categorical features. Financial Innovation. 11(1). 3 indexed citations
3.
Wang, Luyao, Hongbo Li, Ya-Jiao Ke, et al.. (2025). Plug-in strategy for resistance engineering inspired by potato NLRome. Nature. 649(8096). 396–405. 1 indexed citations
4.
Jing, Xinyu, Pei Wang, Huihui Bao, et al.. (2024). Genetic diversity of the self-incompatibility locus in diploid potato. Journal of Integrative Agriculture. 24(4). 1448–1460.
6.
Wang, Pei, et al.. (2024). Deciphering gene expression patterns using large-scale transcriptomic data and its applications. Briefings in Bioinformatics. 25(6). 2 indexed citations
7.
Stocker, Daniel, Stefanie J. Hectors, Brett Marinelli, et al.. (2024). Prediction of hepatocellular carcinoma response to radiation segmentectomy using an MRI-based machine learning approach. Abdominal Radiology. 50(5). 2000–2011. 4 indexed citations
8.
Sun, Fei, Yuan Niu, Tingting Song, et al.. (2023). Comparative Transcriptome Analysis Reveals Genetic Mechanism for Flowering Response in Two Wheat (Triticum aestivum L.) Cultivars. Russian Journal of Genetics. 59(S1). 9–18. 2 indexed citations
9.
Yang, Sijia, et al.. (2023). TSPLASSO: A Two-Stage Prior LASSO Algorithm for Gene Selection Using Omics Data. IEEE Journal of Biomedical and Health Informatics. 28(1). 526–537. 10 indexed citations
10.
Tang, Dié, Yuxin Jia, Jinzhe Zhang, et al.. (2022). Genome evolution and diversity of wild and cultivated potatoes. Nature. 606(7914). 535–541. 206 indexed citations breakdown →
11.
Wang, Pei, et al.. (2022). Recent Advances on Penalized Regression Models for Biological Data. Mathematics. 10(19). 3695–3695. 11 indexed citations
12.
Wu, Lulu, Feifei Liu, Haibo Gu, & Pei Wang. (2022). Adaptive Finite-Time Control of Stochastic Genetic Regulatory Networks with Time-Varying Delays. Mathematics. 10(21). 4071–4071. 1 indexed citations
13.
Wang, Pei & Daojie Wang. (2021). Gene Differential Co-Expression Networks Based on RNA-Seq: Construction and Its Applications. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(5). 2829–2841. 6 indexed citations
14.
Xu, Shuang, et al.. (2020). Variational Bayesian weighted complex network reconstruction. Information Sciences. 521. 291–306. 11 indexed citations
15.
Wang, Pei, Daojie Wang, & Jinhu Lü. (2018). Controllability Analysis of a Gene Network forArabidopsis thalianaReveals Characteristics of Functional Gene Families. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(3). 912–924. 38 indexed citations
16.
Xu, Shuang, Pei Wang, Chunxia Zhang, & Jinhu Lü. (2018). Spectral Learning Algorithm Reveals Propagation Capability of Complex Networks. IEEE Transactions on Cybernetics. 49(12). 4253–4261. 27 indexed citations
17.
Wang, Pei, et al.. (2012). Evaluating transgenic cry1Ac maize for resistance to Ostrinia furnacalis(Guenee). 39(5). 395–400. 4 indexed citations
18.
Wang, Pei, et al.. (2012). Global relative input-output sensitivities of the feed-forward loops in genetic networks. RMIT Research Repository (RMIT University Library). 7376–7381. 4 indexed citations
19.
Wang, Pei. (2009). mBt886cry3a Gene Transformed into Chrysanthemum Dendranthemum grandiflorum 'Xiao Huang' Resistant to The Long Horn Beetles. Northern Horticulture. 2 indexed citations
20.
Wang, Pei. (2003). STUDY ON PTERIDOPHYTES OF GUIZHOU (III). 5 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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