Long Jin

13.8k citations
388 papers · 9.6k · 2 hit papers · h-index 50

Impact in

Papers in

Long Jin

362 papers receiving 9.4k citations

Long Jin's Hit Papers

A Distributed Competitive and Collaborative Coordination for Multirobot Systems 2024 · 47 citations
470+1+2Years since publication255075100

Peers

Long Jin
Comparison fields: 5 of 178
  • Control and Systems Engineering 4.8k
  • Computational Mathematics 67
  • Artificial Intelligence 3.2k
  • Computer Vision and Pattern Recognition 1.9k
  • Statistical and Nonlinear Physics 936
Replace Yunong Zhang with:
Yunong Zhang China
Badong Chen China
Radu‐Emil Precup Romania
Emil M. Petriu Canada
S.A. Billings United Kingdom
Zhijun Zhang China
Michel Verhaegen Netherlands
Herbert Ho‐Ching Iu Australia
Han‐Xiong Li Hong Kong
Vladimir Stojanović Serbia
Long Jin relative to Yunong Zhang China Yunong Zhang's profile →
Citations per field
00.5×2.8×
Yunong Zhang · 1×
Citations per year

Countries citing papers authored by Long Jin

Since Specialization
Citations

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

Fields of papers citing papers by Long Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 388 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017279
2 2016239
3 2013219
4 2018209
5 2017209
6 2015205
7 2016203
8 2016180
9 2017178
10 2014177
11 2017176
12 2018160
13 2021156
14 2015154
15 2018149
16 2020141
17 2014134
18 2019133
19 2009131
20 2016131

About Long Jin

Long Jin is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanical Engineering and Electrical and Electronic Engineering, having authored 388 papers that have together received 9.6k indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (70 papers), Neural Networks and Applications (69 papers), Adaptive Control of Nonlinear Systems (36 papers), Iterative Learning Control Systems (34 papers), Robot Manipulation and Learning (28 papers), Seismic Imaging and Inversion Techniques (24 papers), Reservoir Engineering and Simulation Methods (23 papers) and Robotic Path Planning Algorithms (22 papers). The work is most often cited by research in Control and Systems Engineering (4.8k citations), Computational Mathematics (67 citations), Artificial Intelligence (3.2k citations), Computer Vision and Pattern Recognition (1.9k citations) and Statistical and Nonlinear Physics (936 citations). Long Jin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shuai Li, Yunong Zhang, Xin Luo, Mei Liu, Bolin Liao, Zhijun Zhang, Lin Xiao, Yinyan Zhang, Zhengtai Xie and Zhongbo Sun. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems Man and Cybernetics Systems and IEEE Transactions on Industrial Electronics.

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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