Changlin Wan

1.3k total citations
25 papers, 583 citations indexed

About

Changlin Wan is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Changlin Wan has authored 25 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Changlin Wan's work include Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (6 papers) and Service-Oriented Architecture and Web Services (3 papers). Changlin Wan is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (6 papers) and Service-Oriented Architecture and Web Services (3 papers). Changlin Wan collaborates with scholars based in United States, China and Taiwan. Changlin Wan's co-authors include Yuqian Ma, Jin Bao, Zhanjun Li, Ling Huang, Yuanwei Zhang, Xiangyu Zhou, Tian Xue, Yang Zhao, Gang Han and Chi Zhang and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Changlin Wan

23 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changlin Wan United States 10 240 135 101 85 84 25 583
Dong-Yuan Chen United States 15 324 1.4× 117 0.9× 110 1.1× 38 0.4× 189 2.3× 27 898
Hong Bae Kim South Korea 13 118 0.5× 147 1.1× 70 0.7× 32 0.4× 162 1.9× 46 720
Jessica M. Smith United States 13 422 1.8× 143 1.1× 236 2.3× 17 0.2× 59 0.7× 22 949
Yen‐Chung Chen Taiwan 20 608 2.5× 36 0.3× 45 0.4× 173 2.0× 56 0.7× 66 1.2k
Zhewei Zhang China 13 103 0.4× 29 0.2× 98 1.0× 36 0.4× 21 0.3× 42 517
Hyojin Cho South Korea 12 184 0.8× 32 0.2× 113 1.1× 56 0.7× 140 1.7× 32 554
Pengzhi Zhang China 15 258 1.1× 62 0.5× 18 0.2× 29 0.3× 40 0.5× 44 604
Haiqing Li China 16 124 0.5× 152 1.1× 36 0.4× 11 0.1× 102 1.2× 46 829
Jiachen Chen United States 18 169 0.7× 30 0.2× 188 1.9× 31 0.4× 48 0.6× 53 986
Clark Zhang United States 13 288 1.2× 67 0.5× 348 3.4× 37 0.4× 154 1.8× 25 984

Countries citing papers authored by Changlin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Changlin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changlin Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Changlin Wan. A scholar is included among the top collaborators of Changlin Wan 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 Changlin Wan. Changlin Wan 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.
Zhang, Lingyu, et al.. (2025). Can international railway express improve green total factor productivity?. Humanities and Social Sciences Communications. 12(1). 1 indexed citations
2.
Wan, Changlin, et al.. (2024). Assessing Urban Tourism Development Efficiency: Based on a DEA Approach. Asian Journal of Probability and Statistics. 26(4). 58–65. 1 indexed citations
4.
Cao, Sha, Wennan Chang, Changlin Wan, et al.. (2023). Pipeline for characterizing alternative mechanisms (PCAM) based on bi-clustering to study colorectal cancer heterogeneity. Computational and Structural Biotechnology Journal. 21. 2160–2171. 1 indexed citations
5.
Wan, Changlin, et al.. (2023). Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation. PubMed. 2023. 390–401. 1 indexed citations
6.
Lu, Xiaoyu, Wennan Chang, Changlin Wan, et al.. (2022). PLUS: Predicting cancer metastasis potential based on positive and unlabeled learning. PLoS Computational Biology. 18(3). e1009956–e1009956. 9 indexed citations
7.
Chang, Yuzhou, Carter Allen, Changlin Wan, et al.. (2021). IRIS-FGM: an integrative single-cell RNA-Seq interpretation system for functional gene module analysis. Bioinformatics. 37(18). 3045–3047. 5 indexed citations
8.
Chang, Wennan, Xiaoyu Lu, Changlin Wan, et al.. (2021). A graph neural network model to estimate cell-wise metabolic flux using single-cell RNA-seq data. Genome Research. 31(10). 1867–1884. 121 indexed citations
9.
Wan, Changlin, Wennan Chang, Tong Zhao, Sha Cao, & Chi Zhang. (2020). Denoising Individual Bias for Fairer Binary Submatrix Detection. IUScholarWorks (Indiana University). 2245–2248. 4 indexed citations
10.
Lu, Xiaoyu, Wennan Chang, Changlin Wan, et al.. (2020). SSMD: a semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics data. Briefings in Bioinformatics. 22(4). 4 indexed citations
11.
Wan, Changlin, Wennan Chang, Tong Zhao, et al.. (2020). Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 6086–6093. 11 indexed citations
12.
Wan, Changlin, Wennan Chang, Yu Zhang, et al.. (2019). LTMG: a novel statistical modeling of transcriptional expression states in single-cell RNA-Seq data. Nucleic Acids Research. 47(18). e111–e111. 34 indexed citations
13.
Pandey, Ruchi, Changlin Wan, George E. Sandusky, et al.. (2019). SHP2 inhibition reduces leukemogenesis in models of combined genetic and epigenetic mutations. Journal of Clinical Investigation. 129(12). 5468–5473. 29 indexed citations
14.
Ma, Yuqian, Jin Bao, Yuanwei Zhang, et al.. (2019). Mammalian Near-Infrared Image Vision through Injectable and Self-Powered Retinal Nanoantennae. Cell. 177(2). 243–255.e15. 233 indexed citations
15.
Zhang, Yu, Changlin Wan, Pengcheng Wang, et al.. (2019). M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing data. BMC Bioinformatics. 20(S24). 672–672. 7 indexed citations
16.
Chang, Wennan, Changlin Wan, Yifan Sun, et al.. (2019). Abstract 2439: A semi-supervised deconvolution method for quantifying the composition and activity of tumor-infiltrating cell types. Cancer Research. 79(13_Supplement). 2439–2439. 1 indexed citations
17.
Gao, Jianing, Changlin Wan, Huan Zhang, et al.. (2017). Anaconda: AN automated pipeline for somatic COpy Number variation Detection and Annotation from tumor exome sequencing data. BMC Bioinformatics. 18(1). 436–436. 8 indexed citations
18.
Wan, Changlin, et al.. (2008). On Solving QoS-Aware Service Selection Problem with Service Composition. 467–474. 26 indexed citations
19.
Qiu, Lirong, et al.. (2006). Semantic Web Services Composition Using AI Planning of Description Logics. 20. 340–347. 10 indexed citations
20.
Wu, Yuping, Chunhai Jiang, Changlin Wan, & Rudolf Holze. (2002). Anode materials for lithium ion batteries from mild oxidation of natural graphite. Journal of Applied Electrochemistry. 32(9). 1011–1017. 26 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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