Hui Kong

127 papers receiving 3.8k citations

Hui Kong's Hit Papers

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems 2024 · 80 citations
800+1+2Years since publication255075

Peers

Hui Kong
Comparison fields: 5 of 156
  • Computer Vision and Pattern Recognition 1.8k
  • Automotive Engineering 643
  • Environmental Engineering 584
  • Computational Mathematics 22
  • Oceanography 422
Replace Tong He with:
Tong He China
Xun Huang China
Zhong‐Qiu Zhao China
Anton Milan Australia
Farid Melgani Italy
Jun-Wei Hsieh Taiwan
Sebastian Ramos Spain
Timo Rehfeld Germany
Marius Cordts Germany
Hui Kong relative to Tong He China Tong He's profile →
Citations per field
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Tong He · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010305
2 2013252
3 2009183
4 2014170
5 2011164
6 2020159
7 2021136
8 2005123
9
CrackFormer Network for Pavement Crack Segmentation
Hit paper breakdown →
202396
10 201883
11 201782
12
Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
Hit paper breakdown →
202480
13 201474
14 201373
15 201273
16 202065
17 201663
18 201661
19 202061
20 201660

About Hui Kong

Hui Kong is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Environmental Engineering, Global and Planetary Change and Automotive Engineering, having authored 132 papers that have together received 3.9k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (30 papers), Robotics and Sensor-Based Localization (30 papers), Autonomous Vehicle Technology and Safety (21 papers), Ocean Acidification Effects and Responses (18 papers), Marine Bivalve and Aquaculture Studies (18 papers), Advanced Vision and Imaging (16 papers), Advanced Neural Network Applications (14 papers) and 3D Surveying and Cultural Heritage (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Automotive Engineering (643 citations), Environmental Engineering (584 citations), Computational Mathematics (22 citations) and Oceanography (422 citations). Hui Kong has collaborated with scholars based in China, Macao and United States. Frequent 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. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, Marine Pollution Bulletin, IEEE Robotics and Automation Letters and IEEE Transactions on Image Processing.

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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