Jianlei Kong

3.2k citations
90 papers · 2.3k indexed · 1 hit paper · h-index 26
Topics
Smart Agriculture and AI (18 papers)Energy Load and Power Forecasting (13 papers)Air Quality Monitoring and Forecasting (10 papers)
Journals
SHILAP Revista de lepidopterologíaFood ChemistryCarbohydrate Polymers
Partner nations
ChinaIndiaLebanon

In The Last Decade

Jianlei Kong

80 papers receiving 2.2k citations

Hit Papers

CropDeep: The Crop Vision Dataset for Deep-Learning-Based...20192026202120232019100200300

Peers

Jianlei Kong
Comparison fields: 5 of 152
  • Plant Science 626
  • Artificial Intelligence 500
  • Electrical and Electronic Engineering 325
  • Environmental Engineering 320
  • Control and Systems Engineering 300
Replace Xuebo Jin with:
Xuebo Jin China
Tingli Su China
Yuting Bai China
Xiaoyi Wang China
Elmer P. Dadios Philippines
Min Zuo China
Jesús González Spain
Pradeep Kumar Singh India
Serge Guillaume France
Weikuan Jia China
Jianlei Kong relative to Xuebo Jin China Xuebo Jin's profile →
Citations per field
00.5×1.5×2.3×
Xuebo Jin · 1×
Citations per year

Countries citing papers authored by Jianlei Kong

Since Specialization
Citations

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

Fields of papers citing papers by Jianlei Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianlei Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Jianlei Kong. A scholar is included among the top collaborators of Jianlei 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 Jianlei Kong. Jianlei 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
#WorkIndexed citations
1 8
2 7
3 8
4 25
5 6
6 5
7 4
8 0
9 1
10 5
11 3
12 68
13 47
14 5
15 7
16 6
17 3
18 24
19 5
20
A Novel Identification Method of Obstacles Based on Multi-sensor Data Fusion in Forest
1

About Jianlei Kong

Jianlei Kong is a scholar working on Signal Processing, Environmental Engineering and Computer Vision and Pattern Recognition, having authored 90 papers that have together received 2.3k indexed citations. Recurring topics across this work include Smart Agriculture and AI (18 papers), Energy Load and Power Forecasting (13 papers) and Air Quality Monitoring and Forecasting (10 papers). The work is most often cited by research in Environmental Engineering (320 citations), Plant Science (626 citations) and Signal Processing (175 citations). Jianlei Kong has collaborated with scholars based in China, India and Lebanon. Frequent co-authors include Xuebo Jin, Tingli Su, Yuting Bai, Min Zuo, Xiaoyi Wang, Xiaoyi Wang, Yangyang Zheng, Xuebo Jin, Lei Yan and Hongxing Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Food Chemistry and Carbohydrate Polymers.

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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