Jianjun Yi

1.2k citations
79 papers · 836 · h-index 16

Impact in

Papers in

Jianjun Yi

71 papers receiving 811 citations

Peers

Jianjun Yi
Comparison fields: 5 of 97
  • Industrial and Manufacturing Engineering 231
  • Media Technology 53
  • Management Information Systems 53
  • Computer Vision and Pattern Recognition 116
  • Process Chemistry and Technology 15
Replace Saeed Talebi with:
Saeed Talebi Iran
Guohui Zhang China
Yuhang Yang China
Yong Xie China
Xuhui Xia China
Shi‐Shang Jang Taiwan
Nader Barsoum Malaysia
Xuesong Xu China
Yiwei Wang China
Xuejun Yue China
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Citations per field
00.5×5.9×
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Citations per year

Countries citing papers authored by Jianjun Yi

Since Specialization
Citations

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

Fields of papers citing papers by Jianjun Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201698
2 202092
3 201374
4 201655
5 200742
6 200640
7 202239
8 202033
9 201027
10 201523
11 200922
12 201619
13 201718
14 202117
15 200217
16 201516
17 202515
18 202015
19 202215
20 201614

About Jianjun Yi

Jianjun Yi is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 79 papers that have together received 836 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (20 papers), Robotic Path Planning Algorithms (10 papers), Manufacturing Process and Optimization (9 papers), Space Satellite Systems and Control (7 papers), Advanced Neural Network Applications (5 papers), Remote Sensing and LiDAR Applications (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers) and 3D Surveying and Cultural Heritage (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (231 citations), Media Technology (53 citations), Management Information Systems (53 citations), Computer Vision and Pattern Recognition (116 citations) and Process Chemistry and Technology (15 citations). Jianjun Yi has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Shao‐Li Chen, Xiaomin Zhu, Tijun Fan, Sheng Deng, Chunhua Gu, Xiangyun Chang, Chenggang Li, Lei Du, Bin Yu and Liang He. Their work appears in journals such as Applied Intelligence, The International Journal of Advanced Manufacturing Technology, IEEE Transactions on Instrumentation and Measurement, Sensors and Advanced Engineering Informatics.

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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