Xuebo Jin

2.9k citations
76 papers · 2.1k indexed · 1 hit paper · h-index 25
Topics
Smart Agriculture and AI (12 papers)Energy Load and Power Forecasting (11 papers)Air Quality Monitoring and Forecasting (11 papers)
Partner nations
ChinaIndiaLebanon

In The Last Decade

Xuebo Jin

66 papers receiving 2.0k citations

Hit Papers

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

Peers

Xuebo Jin
Comparison fields: 5 of 141
  • Artificial Intelligence 526
  • Plant Science 506
  • Control and Systems Engineering 388
  • Electrical and Electronic Engineering 336
  • Environmental Engineering 297
Replace Jianlei Kong with:
Jianlei Kong China
Tingli Su China
Yuting Bai China
Xiaoyi Wang China
Min Zuo China
Serge Guillaume France
Elmer P. Dadios Philippines
Weikuan Jia China
Deepak Gupta India
B. D. Parameshachari India
Xuebo Jin relative to Jianlei Kong China Jianlei Kong's profile →
Citations per field
00.5×1.5×
Jianlei Kong · 1×
Citations per year

Countries citing papers authored by Xuebo Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xuebo Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuebo Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Xuebo Jin. A scholar is included among the top collaborators of Xuebo Jin 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 Xuebo Jin. Xuebo Jin 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 8
3 0
4 5
5 4
6 15
7 4
8 10
9 0
10 7
11 1
12 5
13 3
14 68
15 47
16 5
17 7
18 38
19 5
20 26

About Xuebo Jin

Xuebo Jin is a scholar working on Signal Processing, Artificial Intelligence and Environmental Engineering, having authored 76 papers that have together received 2.1k indexed citations. Recurring topics across this work include Smart Agriculture and AI (12 papers), Energy Load and Power Forecasting (11 papers) and Air Quality Monitoring and Forecasting (11 papers). The work is most often cited by research in Environmental Engineering (297 citations), Control and Systems Engineering (388 citations) and Artificial Intelligence (526 citations). Xuebo Jin has collaborated with scholars based in China, India and Lebanon. Frequent co-authors include Jianlei Kong, Tingli Su, Yuting Bai, Min Zuo, Xiaoyi Wang, Xiaoyi Wang, Yangyang Zheng, Prąsun Chakrabarti, Zhiyao Zhao and Xin Zhang. Their work appears in journals such as Expert Systems with Applications, Sensors and International Journal of Environmental Research and Public Health.

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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