Weixun Chen

1.0k total citations
36 papers, 749 citations indexed

About

Weixun Chen is a scholar working on Molecular Biology, Biophysics and Media Technology. According to data from OpenAlex, Weixun Chen has authored 36 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Biophysics and 10 papers in Media Technology. Recurrent topics in Weixun Chen's work include Cell Image Analysis Techniques (12 papers), Image Processing Techniques and Applications (10 papers) and Advanced Fluorescence Microscopy Techniques (7 papers). Weixun Chen is often cited by papers focused on Cell Image Analysis Techniques (12 papers), Image Processing Techniques and Applications (10 papers) and Advanced Fluorescence Microscopy Techniques (7 papers). Weixun Chen collaborates with scholars based in China, United States and Australia. Weixun Chen's co-authors include Bixiang Zhang, Zeyang Ding, Min Liu, Huifang Liang, Zhanguo Zhang, Yanhui Wu, Yaonan Wang, Guan-nan Jin, Xiaoping Chen and Jia Song and has published in prestigious journals such as Hepatology, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Weixun Chen

35 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weixun Chen China 17 387 220 134 111 100 36 749
Jun Cheng China 17 348 0.9× 178 0.8× 199 1.5× 44 0.4× 166 1.7× 73 1.0k
Wiem Lassoued United States 9 262 0.7× 83 0.4× 165 1.2× 245 2.2× 59 0.6× 14 886
Simon Chen United States 15 177 0.5× 110 0.5× 97 0.7× 38 0.3× 105 1.1× 28 782
Elodie Pronier United States 13 424 1.1× 216 1.0× 194 1.4× 100 0.9× 122 1.2× 17 1.2k
Paulette Herlin France 17 282 0.7× 254 1.2× 400 3.0× 141 1.3× 251 2.5× 59 1.1k
Jiawei Tian China 18 212 0.5× 176 0.8× 78 0.6× 15 0.1× 75 0.8× 54 914
Stephanie Robertson Sweden 14 430 1.1× 195 0.9× 408 3.0× 54 0.5× 62 0.6× 28 1.1k
Marios A. Gavrielides United States 21 174 0.4× 74 0.3× 215 1.6× 139 1.3× 400 4.0× 68 1.2k
Edgar Gil Rizzatti Brazil 15 435 1.1× 52 0.2× 254 1.9× 50 0.5× 33 0.3× 42 1.0k
Safoora Yousefi United States 5 174 0.4× 171 0.8× 116 0.9× 84 0.8× 107 1.1× 7 883

Countries citing papers authored by Weixun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Weixun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Weixun Chen. A scholar is included among the top collaborators of Weixun Chen 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 Weixun Chen. Weixun Chen 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.
Chen, Weixun, et al.. (2024). The State of Systematic Therapies in Clinic for Hepatobiliary Cancers. Journal of Hepatocellular Carcinoma. Volume 11. 629–649. 5 indexed citations
2.
Wu, Yanhui, Bin Yu, Jiangmin Zhou, et al.. (2023). MicroRNA-188-5p inhibits hepatocellular carcinoma proliferation and migration by targeting forkhead box N2. BMC Cancer. 23(1). 511–511. 2 indexed citations
3.
Liu, Min, et al.. (2023). Deep learning in mesoscale brain image analysis: A review. Computers in Biology and Medicine. 167. 107617–107617. 6 indexed citations
4.
Zhang, Zunyi, et al.. (2022). Exploring a four-gene risk model based on doxorubicin resistance-associated lncRNAs in hepatocellular carcinoma. Frontiers in Pharmacology. 13. 1015842–1015842. 4 indexed citations
5.
Liu, Min, et al.. (2021). Crossover Structure Separation With Application to Neuron Tracing in Volumetric Images. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 4 indexed citations
6.
Zhang, Lei, et al.. (2021). An extremely atypical presentation of esophageal squamous cell carcinoma with pancreatic and hepatic metastases. Medicine. 100(20). e25785–e25785. 1 indexed citations
7.
Liu, Min, et al.. (2020). Automatic Repair of 3-D Neuron Reconstruction Based on Topological Feature Points and an MOST-Based Repairer. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 5 indexed citations
8.
Chen, Weixun, et al.. (2020). Neuron Image Segmentation via Learning Deep Features and Enhancing Weak Neuronal Structures. IEEE Journal of Biomedical and Health Informatics. 25(5). 1634–1645. 20 indexed citations
9.
Liu, Min, Chao Wang, Weixun Chen, et al.. (2020). Efficient Critical Point Detection for Curvilinear Structures Using a Ring-Like Ray-Shooting Model. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 4 indexed citations
10.
Li, Chi-Yu, et al.. (2020). Ghost calls from operational 4G call systems. 1–14. 8 indexed citations
11.
Jiang, Yi, Weixun Chen, Min Liu, Yaonan Wang, & Erik Meijering. (2020). 3D Neuron Microscopy Image Segmentation via the Ray-Shooting Model and a DC-BLSTM Network. IEEE Transactions on Medical Imaging. 40(1). 26–37. 30 indexed citations
12.
13.
Li, Ganxun, Weiqi Xu, Lu Zhang, et al.. (2019). Development and validation of a CIMP-associated prognostic model for hepatocellular carcinoma. EBioMedicine. 47. 128–141. 56 indexed citations
14.
Li, Ganxun, Tongtong Liu, Bixiang Zhang, Weixun Chen, & Zeyang Ding. (2019). Genome‐wide identification of a competing endogenous RNA network in cholangiocarcinoma. Journal of Cellular Biochemistry. 120(11). 18995–19003. 13 indexed citations
15.
Liu, Min, et al.. (2018). Improved V-Net Based Image Segmentation for 3D Neuron Reconstruction. 443–448. 18 indexed citations
16.
Leng, Chao, Zhanguo Zhang, Weixun Chen, et al.. (2016). An integrin beta4-EGFR unit promotes hepatocellular carcinoma lung metastases by enhancing anchorage independence through activation of FAK–AKT pathway. Cancer Letters. 376(1). 188–196. 80 indexed citations
17.
Zhang, Zhanguo, Weixun Chen, Yanhui Wu, Huifang Liang, & Bixiang Zhang. (2014). MiR-132 prohibits proliferation, invasion, migration, and metastasis in breast cancer by targeting HN1. Biochemical and Biophysical Research Communications. 454(1). 109–114. 67 indexed citations
18.
Ding, Zeyang, Guan-nan Jin, Wei Wang, et al.. (2014). Reduced expression of transcriptional intermediary factor 1 gamma promotes metastasis and indicates poor prognosis of hepatocellular carcinoma. Hepatology. 60(5). 1620–1636. 93 indexed citations
19.
Ding, Zeyang, Huifang Liang, Guan-nan Jin, et al.. (2014). Smad6 Suppresses the Growth and Self‐Renewal of Hepatic Progenitor Cells. Journal of Cellular Physiology. 229(5). 651–660. 16 indexed citations
20.
Ding, Zeyang, Guan-nan Jin, Huifang Liang, et al.. (2013). Transforming growth factor β induces expression of connective tissue growth factor in hepatic progenitor cells through Smad independent signaling. Cellular Signalling. 25(10). 1981–1992. 60 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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