Xuliang Duan

688 citations
48 papers · 445 indexed · 1 hit paper · h-index 11
Topics
Smart Agriculture and AI (9 papers)Data Quality and Management (6 papers)Identification and Quantification in Food (4 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessFrontiers in Plant Science
Partner nations
ChinaUnited KingdomMacao

In The Last Decade

Xuliang Duan

41 papers receiving 428 citations

Hit Papers

An Attention Mechanism-Improved YOLOv7 Object Detection A...202220262023202420224080120

Peers

Xuliang Duan
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 111
  • Artificial Intelligence 107
  • Plant Science 77
  • Information Systems 64
  • Biomedical Engineering 37
Replace Olivier Debauche with:
Olivier Debauche Belgium
Anuj Kumar Jain India
Tomo Popović Montenegro
José Ramón Quevedo Spain
Inés Sittón-Candanedo Spain
Noman Islam Pakistan
Tawseef Ayoub Shaikh India
Alexandru Vulpe Romania
Deepak Kumar India
Sathian Dananjayan India
Xuliang Duan relative to Olivier Debauche Belgium Olivier Debauche's profile →
Citations per field
00.5×1.5×
Olivier Debauche · 1×
Citations per year

Countries citing papers authored by Xuliang Duan

Since Specialization
Citations

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

Fields of papers citing papers by Xuliang Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuliang Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Xuliang Duan. A scholar is included among the top collaborators of Xuliang Duan 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 Xuliang Duan. Xuliang Duan 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 3
3 0
4 1
5 0
6 10
7 1
8 1
9 0
10 21
11 5
12 2
13 16
14 3
15
An Attention Mechanism-Improved YOLOv7 Object Detection Algorithm for Hemp Duck Count Estimationbreakdown →
121
16 4
17 6
18 19
19 3
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A COMPETITION-BASED STUDENT ASSIGNMENT MANAGEMENT SYSTEM
1

About Xuliang Duan

Xuliang Duan is a scholar working on Business and International Management, Developmental Biology and Small Animals, having authored 48 papers that have together received 445 indexed citations. Recurring topics across this work include Smart Agriculture and AI (9 papers), Data Quality and Management (6 papers) and Identification and Quantification in Food (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (111 citations), Artificial Intelligence (107 citations) and Industrial and Manufacturing Engineering (33 citations). Xuliang Duan has collaborated with scholars based in China, United Kingdom and Macao. Frequent co-authors include Bing Guo, Hongbo Jiang, Ling Feng, Xi Wen, Jianjun Wang, Hong Zhang, Xinzheng Wang, Jiong Mu, Yuhao Pan and Dan Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Frontiers in Plant Science.

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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