Long Li

5.5k citations
279 papers · 4.3k indexed · 4 hit papers · h-index 32

Impact in

Papers in

Long Li

257 papers receiving 4.2k citations

Hit Papers

Multimodal Sensors Enabled Autonomous Soft Robotic System with Self-Adaptive Manipulation 2024 · 57 citations
572015202620182022100200300400500

Peers

Long Li
Comparison fields: 5 of 160
  • Building and Construction 575
  • Polymers and Plastics 529
  • Civil and Structural Engineering 775
  • Biomedical Engineering 1.6k
  • Mechanical Engineering 1.0k
Replace Zhenyu Huang with:
Zhenyu Huang China
Yu Liu China
Zhan Kang China
Wei Zhai Singapore
Gilles Lubineau Saudi Arabia
Paolo Ermanni Switzerland
Bo Li China
Hongbin Liu United Kingdom
Su Liu China
Goangseup Zi South Korea
Long Li relative to Zhenyu Huang China Zhenyu Huang's profile →
Citations per field
00.5×3.1×
Zhenyu Huang · 1×
Citations per year

Countries citing papers authored by Long Li

Since Specialization
Citations

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

Fields of papers citing papers by Long Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20250
4 20245
5 20248
6 20240
7 202432
8 20245
9 20248
10 20241
11 20244
12 20242
13 20230
14 202326
15 20233
16 20232
17 202312
18 20239
19 20232
20 201641

About Long Li

Long Li is a scholar working on Mechanical Engineering, Control and Systems Engineering, Aerospace Engineering, Computational Mathematics and Biomedical Engineering, having authored 279 papers that have together received 4.3k indexed citations. Recurring topics across this work include Soft Robotics and Applications (24 papers), Advanced Sensor and Energy Harvesting Materials (22 papers), Perovskite Materials and Applications (12 papers), Membrane Separation and Gas Transport (12 papers), Modular Robots and Swarm Intelligence (12 papers), Robot Manipulation and Learning (11 papers), Robotic Path Planning Algorithms (11 papers) and Robotics and Sensor-Based Localization (10 papers). The work is most often cited by research in Building and Construction (575 citations), Polymers and Plastics (529 citations), Civil and Structural Engineering (775 citations), Biomedical Engineering (1.6k citations) and Mechanical Engineering (1.0k citations). Long Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yingzhong Tian, Jianzhuang Xiao, Tao Jin, Quan Zhang, Chi Sun Poon, Chengkuo Lee, Luming Shen, Xuyan Hou, Tao Chen and Guangjie Yuan. Their work appears in journals such as Construction and Building Materials, Journal of Membrane Science, Applied Sciences, Nano Energy and Soft Robotics.

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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