Long Wang

1.2k citations
63 papers · 796 · h-index 17

Impact in

Papers in

Long Wang

56 papers receiving 772 citations

Peers

Long Wang
Comparison fields: 5 of 95
  • Biomedical Engineering 553
  • Control and Systems Engineering 281
  • Condensed Matter Physics 62
  • Computer Vision and Pattern Recognition 89
  • Mechanical Engineering 156
Replace Ankur Kapoor with:
Ankur Kapoor United States
Momen Abayazid Netherlands
Roger E. Goldman United States
Daniel Glozman Israel
Fan Xu China
Jagadeesan Jayender United States
Enrico Franco United Kingdom
Jérôme Szewczyk France
Tomoya Sato Japan
Long Wang relative to Ankur Kapoor United States Ankur Kapoor's profile →
Citations per field
00.5×
Ankur Kapoor · 1×
Citations per year

Countries citing papers authored by Long Wang

Since Specialization
Citations

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

Fields of papers citing papers by Long Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201283
2 201678
3 202059
4 201150
5 202445
6 201943
7 201837
8 201632
9 201626
10 201325
11 201821
12 200720
13 201620
14 201719
15 201819
16 201717
17 201916
18 201716
19 201614
20 202014

About Long Wang

Long Wang is a scholar working on Biomedical Engineering, Control and Systems Engineering, Pulmonary and Respiratory Medicine, Mechanical Engineering and Surgery, having authored 63 papers that have together received 796 indexed citations. Recurring topics across this work include Soft Robotics and Applications (24 papers), Robot Manipulation and Learning (16 papers), Surgical Simulation and Training (6 papers), Teleoperation and Haptic Systems (5 papers), Advanced Surface Polishing Techniques (4 papers), Radio Frequency Integrated Circuit Design (4 papers), Muscle activation and electromyography studies (4 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Biomedical Engineering (553 citations), Control and Systems Engineering (281 citations), Condensed Matter Physics (62 citations), Computer Vision and Pattern Recognition (89 citations) and Mechanical Engineering (156 citations). Long Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nabil Simaan, Dennis Fowler, Andrea Bajo, Roger E. Goldman, Christoph Meinel, Howie Choset, Russell H. Taylor, Peter K. Allen, Joseph DelPreto and Isuru S. Godage. Their work appears in journals such as Journal of Mechanisms and Robotics, IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, Journal of Clinical Oncology and Cancer Research.

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.

Explore authors with similar magnitude of impact