Long Cheng

679 total citations · 1 hit paper
32 papers, 452 citations indexed

About

Long Cheng is a scholar working on Biomedical Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Long Cheng has authored 32 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 8 papers in Control and Systems Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Long Cheng's work include Robotic Locomotion and Control (8 papers), Robot Manipulation and Learning (6 papers) and Soft Robotics and Applications (6 papers). Long Cheng is often cited by papers focused on Robotic Locomotion and Control (8 papers), Robot Manipulation and Learning (6 papers) and Soft Robotics and Applications (6 papers). Long Cheng collaborates with scholars based in China, Germany and United States. Long Cheng's co-authors include Alois Knoll, Zhenshan Bing, Kai Huang, Mingchuan Zhou, Florian Röhrbein, Guang Chen, Chenxi Liu, Zhishuai Li, Zhongliang Jiang and Rui Zhao and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.

In The Last Decade

Long Cheng

31 papers receiving 442 citations

Hit Papers

Spatial-Temporal Large Language Model for Traffic Prediction 2024 2026 2025 2024 10 20 30 40 50

Peers

Long Cheng
Comparison fields: 5 of 74
  • Biomedical Engineering 170
  • Control and Systems Engineering 124
  • Artificial Intelligence 93
  • Mechanical Engineering 89
  • Computer Vision and Pattern Recognition 71
Replace M.K.A. Ahamed Khan with:
M.K.A. Ahamed Khan Malaysia
Georgia Chalvatzaki Germany
Luige Vlădăreanu Romania
Kuangen Zhang China
Zenggui Gao China
Kuu‐Young Young Taiwan
Sho Yokota Japan
Wenbin Su China
Chung‐Hsien Kuo Taiwan
Zakaria Hussain Malaysia
M.K.A. Ahamed Khan Malaysia View profile →
Citations per field, relative to Long Cheng
Long Cheng · 1×
Citations per year, relative to Long Cheng
Long Cheng · 1×

Countries citing papers authored by Long Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Long Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Long Cheng. A scholar is included among the top collaborators of Long Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Long Cheng. Long Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2
Spatial-Temporal Large Language Model for Traffic Prediction breakdown →
53
3 2
4 3
5 2
6 15
7 10
8 2
9 41
10 1
11 2
12 38
13 18
14 1
15 21
16 40
17 18
18 1
19 27
20 40

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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