Weikuan Jia

4.5k citations
128 papers · 3.2k indexed · 3 hit papers · h-index 31
Topics
Smart Agriculture and AI (42 papers)Spectroscopy and Chemometric Analyses (24 papers)Neural Networks and Applications (15 papers)
Partner nations
ChinaUnited KingdomJapan

In The Last Decade

Weikuan Jia

122 papers receiving 3.1k citations

Hit Papers

Feature dimensionality reduction: a review2020202620222024202220202021100200300400

Peers

Weikuan Jia
Comparison fields: 5 of 170
  • Plant Science 1.1k
  • Artificial Intelligence 684
  • Computer Vision and Pattern Recognition 619
  • Analytical Chemistry 456
  • Industrial and Manufacturing Engineering 292
Replace Elmer P. Dadios with:
Elmer P. Dadios Philippines
Yang Li China
Davut Hanbay Türkiye
Argel A. Bandala Philippines
Chengliang Liu China
George A. Papakostas Greece
Yujian Li China
Vassilis G. Kaburlasos Greece
Hyeonjoon Moon South Korea
Ning Ye China
Weikuan Jia relative to Elmer P. Dadios Philippines Elmer P. Dadios's profile →
Citations per field
00.5×3.3×
Elmer P. Dadios · 1×
Citations per year

Countries citing papers authored by Weikuan Jia

Since Specialization
Citations

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

Fields of papers citing papers by Weikuan Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weikuan Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Weikuan Jia. A scholar is included among the top collaborators of Weikuan Jia 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 Weikuan Jia. Weikuan Jia 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 7
2 5
3 2
4 26
5 4
6 6
7 9
8 8
9 5
10 7
11 9
12 1
13 14
14 67
15 8
16 1
17 37
18 1
19 8
20
New Theories and Methods of Image Segmentation
15

About Weikuan Jia

Weikuan Jia is a scholar working on Analytical Chemistry, Computer Vision and Pattern Recognition and Plant Science, having authored 128 papers that have together received 3.2k indexed citations. Recurring topics across this work include Smart Agriculture and AI (42 papers), Spectroscopy and Chemometric Analyses (24 papers) and Neural Networks and Applications (15 papers). The work is most often cited by research in Analytical Chemistry (456 citations), Computer Vision and Pattern Recognition (619 citations) and Industrial and Manufacturing Engineering (292 citations). Weikuan Jia has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Shifei Ding, Jian Lian, Yuanjie Zheng, Sujuan Hou, Meili Sun, Dean Zhao, Rong Luo, Zhonghua Zhang, Chengzhi Ruan and Yuyu Tian. Their work appears in journals such as Neuroscience, IEEE Transactions on Image Processing and Expert Systems with Applications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026