Hui Kong

5.4k total citations · 1 hit paper
130 papers, 3.8k citations indexed

About

Hui Kong is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Hui Kong has authored 130 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Vision and Pattern Recognition, 33 papers in Aerospace Engineering and 31 papers in Environmental Engineering. Recurrent topics in Hui Kong's work include Remote Sensing and LiDAR Applications (30 papers), Robotics and Sensor-Based Localization (30 papers) and Autonomous Vehicle Technology and Safety (21 papers). Hui Kong is often cited by papers focused on Remote Sensing and LiDAR Applications (30 papers), Robotics and Sensor-Based Localization (30 papers) and Autonomous Vehicle Technology and Safety (21 papers). Hui Kong collaborates with scholars based in China, Macao and United States. Hui Kong's co-authors include Jean Ponce, Jean-Yves Audibert, Jian Yang, Sanjay E. Sarma, Hatice Çınar Akakın, Youji Wang, Menghong Hu, Chengzhong Xu, Metin N. Gürcan and Yigong Zhang and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Hui Kong

125 papers receiving 3.6k citations

Hit Papers

Knowledge-guided machine learning can improve carbon cycl... 2024 2026 2025 2024 20 40 60

Peers

Hui Kong
Comparison fields: 5 of 155
  • Computer Vision and Pattern Recognition 1.8k
  • Automotive Engineering 639
  • Artificial Intelligence 587
  • Environmental Engineering 569
  • Aerospace Engineering 565
Replace Zhengxia Zou with:
Zhengxia Zou China
Asgeir J. Sørensen Norway
Bisheng Yang China
Stefan Hinz Germany
Jonathan Cheung-Wai Chan Belgium
Farid Melgani Italy
Li Xiang China
Tong He China
Daquan Zhou China
Ping Wang China
Zhengxia Zou China View profile →
Citations per field, relative to Hui Kong
Hui Kong · 1×
Citations per year, relative to Hui Kong
Hui Kong · 1×

Countries citing papers authored by Hui Kong

Since Specialization
Citations

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

Fields of papers citing papers by Hui Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Kong. A scholar is included among the top collaborators of Hui Kong 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 Hui Kong. Hui Kong 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 1
3 1
4 7
5
Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems breakdown →
60
6 2
7 3
8 6
9 1
10 1
11 4
12 7
13 7
14 1
15 20
16 20
17 56
18 18
19 45
20
Generalized 2D principal component analysis for face image representation and recognition
5

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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