Wanli Chen

708 citations
31 papers · 518 · h-index 15

Impact in

Papers in

Wanli Chen

30 papers receiving 508 citations

Peers

Wanli Chen
Comparison fields: 5 of 110
  • Automotive Engineering 37
  • Geriatrics and Gerontology 9
  • Computer Vision and Pattern Recognition 62
  • Electrical and Electronic Engineering 154
  • Materials Chemistry 112
Replace Chaolei Wang with:
Chaolei Wang China
Mengchen Wang China
Sangwoo Park South Korea
Sahil Arora India
Xiaoming Zhou China
Liang Lv China
Xia Hua China
Chen Cui China
Wanli Chen relative to Chaolei Wang China Chaolei Wang's profile →
Citations per field
00.5×
Chaolei Wang · 1×
Citations per year

Countries citing papers authored by Wanli Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wanli Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wanli Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wanli Chen Line = papers co-authored together Wanli Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201864
2 201663
3 202258
4 201834
5 202232
6 201931
7 202025
8 202024
9 202121
10 202020
11 202217
12 202216
13 202316
14 201216
15
W-net: Bridged U-net for 2D Medical Image Segmentation.
201814
16 202211
17 201911
18 20197
19 20226
20 20205

About Wanli Chen

Wanli Chen is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Materials Chemistry, Molecular Biology and Control and Systems Engineering, having authored 31 papers that have together received 518 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (3 papers), Medical Image Segmentation Techniques (3 papers), Machine Fault Diagnosis Techniques (3 papers), Quantum Dots Synthesis And Properties (3 papers), Power Transformer Diagnostics and Insulation (3 papers), Organic Light-Emitting Diodes Research (2 papers), Plasmonic and Surface Plasmon Research (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Automotive Engineering (37 citations), Geriatrics and Gerontology (9 citations), Computer Vision and Pattern Recognition (62 citations), Electrical and Electronic Engineering (154 citations) and Materials Chemistry (112 citations). Wanli Chen has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Mei Zhang, Jun Yin, Anan Huang, Rui Wang, Kai Wang, Zhenyu Zhu, Yameng Cui, Chao Zeng, Xiangtian Xiao and Wei Chen. Their work appears in journals such as IEEE Access, Frontiers in Pharmacology, Energies, Energy Science & Engineering and Advanced Materials.

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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