Steven W. Chen

1.0k citations
10 papers · 693 indexed · 1 hit paper · h-index 9

Impact in

Papers in

Steven W. Chen

10 papers receiving 660 citations

Hit Papers

Counting Apples and Oranges With Deep Learning: A Data-Driven Approach 2017 · 322 citations
3222017202620202023100200300

Peers

Steven W. Chen
Comparison fields: 5 of 74
  • Analytical Chemistry 134
  • Environmental Engineering 142
  • Plant Science 350
  • Geology 49
  • Computer Vision and Pattern Recognition 160
Replace Chunlong Zhang with:
Chunlong Zhang China
Stephen Nuske United States
Javier Ruiz‐Hidalgo Spain
Shreyas S. Shivakumar United States
Nived Chebrolu Germany
Guichao Lin China
Guangzhao Tian China
Zhihua Diao China
Pravakar Roy United States
Thuy Tuong Nguyen United States
Steven W. Chen relative to Chunlong Zhang China Chunlong Zhang's profile →
Citations per field
00.5×4.2×
Chunlong Zhang · 1×
Citations per year

Countries citing papers authored by Steven W. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Steven W. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Steven W. 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 Steven W. Chen Line = papers co-authored together Steven W. Chen links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 202230
2 202264
3 20213
4 2020118
5 201926
6 201912
7 201889
8 201814
9 201815
10
Counting Apples and Oranges With Deep Learning: A Data-Driven Approach
Hit paper breakdown →
2017322

About Steven W. Chen

Steven W. Chen is a scholar working on Geology, Biophysics, Computer Vision and Pattern Recognition, Environmental Engineering and Aerospace Engineering, having authored 10 papers that have together received 693 indexed citations. Recurring topics across this work include Smart Agriculture and AI (3 papers), Robotics and Sensor-Based Localization (3 papers), Shoulder and Clavicle Injuries (2 papers), Remote Sensing in Agriculture (2 papers), Remote Sensing and LiDAR Applications (2 papers), Robotic Path Planning Algorithms (2 papers), Shoulder Injury and Treatment (2 papers) and Catalytic C–H Functionalization Methods (1 paper). The work is most often cited by research in Analytical Chemistry (134 citations), Environmental Engineering (142 citations), Plant Science (350 citations), Geology (49 citations) and Computer Vision and Pattern Recognition (160 citations). Steven W. Chen has collaborated with scholars based in United States and Brazil. Frequent co-authors include Vijay Kumar, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, Shreyas S. Shivakumar, Fernando Cladera, Xu Liu, Xu Liu, Brian A. Bartz and William T. Pennington. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Micro, The Journal of Organic Chemistry, Arthroscopy Techniques and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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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