Changan Chen

160 papers receiving 2.8k citations

Changan Chen's Hit Papers

Crowd-Robot Interaction: Crowd-Aware Robot Navigation With Attention-Based Deep Reinforcement Learning 2019 · 398 citations
3980+2+4Years since publication100200300

Peers

Changan Chen
Comparison fields: 5 of 142
  • Energy Engineering and Power Technology 82
  • Computer Vision and Pattern Recognition 558
  • Catalysis 163
  • Materials Chemistry 1.0k
  • Signal Processing 201
Replace Lifeng Wang with:
Lifeng Wang United States
Jin Wang China
Yafeng Chen China
Young‐Keun Kim South Korea
Xiaolei Wang China
Xin Li China
Ryan Dehoff United States
Changan Chen relative to Lifeng Wang United States Lifeng Wang's profile →
Citations per field
00.5×7.7×
Lifeng Wang · 1×
Citations per year

Countries citing papers authored by Changan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Changan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Crowd-Robot Interaction: Crowd-Aware Robot Navigation With Attention-Based Deep Reinforcement Learning
Hit paper breakdown →
2019398
2 2015220
3 2020127
4 2020106
5 201981
6 201778
7 201966
8 202165
9 201557
10 202054
11 202052
12 201650
13 201947
14 201946
15 202240
16 201740
17 201840
18 201839
19 201838
20 202235

About Changan Chen

Changan Chen is a scholar working on Materials Chemistry, Mechanics of Materials, Electrical and Electronic Engineering, Mechanical Engineering and Aerospace Engineering, having authored 171 papers that have together received 2.8k indexed citations. Recurring topics across this work include Fusion materials and technologies (52 papers), Nuclear Materials and Properties (51 papers), Hydrogen Storage and Materials (38 papers), Music and Audio Processing (11 papers), Metal and Thin Film Mechanics (11 papers), Speech and Audio Processing (10 papers), Ammonia Synthesis and Nitrogen Reduction (9 papers) and Shoulder Injury and Treatment (8 papers). The work is most often cited by research in Energy Engineering and Power Technology (82 citations), Computer Vision and Pattern Recognition (558 citations), Catalysis (163 citations), Materials Chemistry (1.0k citations) and Signal Processing (201 citations). Changan Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include S. Kreiss, Yuejiang Liu, Alexandre Alahi, Kristen Grauman, Wenhua Luo, Huaqin Kou, Ziad Al-Halah, Xuezhang Xiao, Zhendong Yao and Zhaoqing Liang. Their work appears in journals such as International Journal of Hydrogen Energy, Fusion Engineering and Design, Journal of Nuclear Materials, Chemical Engineering Journal and Journal of Alloys and Compounds.

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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