Chengxi Li

1.1k citations
32 papers · 704 indexed · 1 hit paper · h-index 13
Topics
Robot Manipulation and Learning (5 papers)Manufacturing Process and Optimization (4 papers)Augmented Reality Applications (4 papers)

In The Last Decade

Chengxi Li

29 papers receiving 681 citations

Hit Papers

A state-of-the-art survey on Augmented Reality-assisted D...2022202620232024202250100150

Peers

Chengxi Li
Comparison fields: 5 of 100
  • Industrial and Manufacturing Engineering 217
  • Artificial Intelligence 195
  • Computer Vision and Pattern Recognition 169
  • Signal Processing 91
  • Control and Systems Engineering 80
Replace Shahram Rahimi with:
Shahram Rahimi United States
Yanni Yang China
Javier Vales‐Alonso Spain
Mark Yampolskiy United States
Tanesh Kumar India
Bi Zeng China
Lam M. Nguyen United States
Spyridon G. Mouroutsos Greece
Shuva Paul United States
Jong‐Moon Chung South Korea
Chengxi Li relative to Shahram Rahimi United States Shahram Rahimi's profile →
Citations per field
00.5×7.2×
Shahram Rahimi · 1×
Citations per year

Countries citing papers authored by Chengxi Li

Since Specialization
Citations

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

Fields of papers citing papers by Chengxi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengxi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chengxi Li. A scholar is included among the top collaborators of Chengxi Li 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 Chengxi Li. Chengxi Li 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
#WorkIndexed citations
1 0
2 2
3 13
4 2
5 18
6 4
7 4
8 5
9 2
10 5
11 9
12 14
13
A state-of-the-art survey on Augmented Reality-assisted Digital Twin for futuristic human-centric industry transformationbreakdown →
153
14 22
15 25
16 36
17 4
18 41
19 17
20 3

About Chengxi Li

Chengxi Li is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Industrial and Manufacturing Engineering, having authored 32 papers that have together received 704 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Manufacturing Process and Optimization (4 papers) and Augmented Reality Applications (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (217 citations), Signal Processing (91 citations) and Computer Vision and Pattern Recognition (169 citations). Chengxi Li has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Pai Zheng, Lihui Wang, Yue Yin, Liqiao Xia, Xinyu Li, Bufan Liu, Stanley H. Chan, Yi‐Ting Chen, Zhou Zhao and Jinglin Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Bioresource Technology.

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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