Guilian Chen

729 citations
19 papers · 488 · 1 hit paper · h-index 7

Impact in

Papers in

Guilian Chen

15 papers receiving 485 citations

Guilian Chen's Hit Papers

FAT-Net: Feature adaptive transformers for automated skin lesion segmentation 2021 · 365 citations
3650+1+3Years since publication100200300

Peers

Guilian Chen
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 228
  • Artificial Intelligence 234
  • Neurology 59
  • Oncology 167
  • Radiology, Nuclear Medicine and Imaging 96
Replace Shuanglang Feng with:
Shuanglang Feng China
Duwei Dai China
Xuena Cheng China
Nan Yang China
Mustafa Elattar Egypt
Isam Abu‐Qasmieh Jordan
Haidar Almubarak Saudi Arabia
Arkadiusz Kwasigroch Poland
Dominik Müller Germany
Mohammad H. Jafari Canada
Guilian Chen relative to Shuanglang Feng China Shuanglang Feng's profile →
Citations per field
00.5×1.7×
Shuanglang Feng · 1×
Citations per year

Countries citing papers authored by Guilian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guilian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guilian 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 Guilian Chen Line = papers co-authored together Guilian Chen links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation
Hit paper breakdown →
2021365
2 202139
3 202325
4 202316
5 202214
6 20227
7 20186
8 20174
9 20183
10 20222
11 20202
12 20212
13
Dynamic Modeling and Neural Network Identification Simulation for Lower Limbs Exoskeletons Rehabilitation Robot
20131
14 20221
15 20201
16 20240
17 20230
18 20250
19 20200

About Guilian Chen

Guilian Chen is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Surgery and Pollution, having authored 19 papers that have together received 488 indexed citations. Recurring topics across this work include Antenna Design and Analysis (3 papers), AI in cancer detection (3 papers), Radio Frequency Integrated Circuit Design (2 papers), Robotics and Sensor-Based Localization (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Toxic Organic Pollutants Impact (2 papers), Advanced Neural Network Applications (2 papers) and Esophageal and GI Pathology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (228 citations), Artificial Intelligence (234 citations), Neurology (59 citations), Oncology (167 citations) and Radiology, Nuclear Medicine and Imaging (96 citations). Guilian Chen has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Zhenkun Wen, Huisi Wu, Baiying Lei, Wei Wang, Jing Qin, Jian Pu, Zizhang Wu, Lei Wang, Lei Wang and Yingmin Wang. Their work appears in journals such as The Science of The Total Environment, International Journal of Modern Physics C, Pancreas, Endoscopic Ultrasound and Disability and Rehabilitation.

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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