Zhuoren Jiang

972 total citations
56 papers, 521 citations indexed

About

Zhuoren Jiang is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Zhuoren Jiang has authored 56 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 18 papers in Information Systems and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Zhuoren Jiang's work include Topic Modeling (22 papers), Advanced Text Analysis Techniques (10 papers) and Advanced Graph Neural Networks (8 papers). Zhuoren Jiang is often cited by papers focused on Topic Modeling (22 papers), Advanced Text Analysis Techniques (10 papers) and Advanced Graph Neural Networks (8 papers). Zhuoren Jiang collaborates with scholars based in China, United States and Hong Kong. Zhuoren Jiang's co-authors include Liangcai Gao, Xiaozhong Liu, Zhi Tang, Xiaohan Yi, Yangyang Kang, Changlong Sun, Yao Lu, Yuan Liao, Yao Lu and Runtao Liu and has published in prestigious journals such as Scientometrics, Neural Computing and Applications and Information Processing & Management.

In The Last Decade

Zhuoren Jiang

49 papers receiving 491 citations

Peers

Zhuoren Jiang
Comparison fields: 5 of 77
  • Artificial Intelligence 302
  • Computer Vision and Pattern Recognition 189
  • Information Systems 98
  • Media Technology 45
  • Computational Theory and Mathematics 42
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Citations per field, relative to Zhuoren Jiang
Zhuoren Jiang · 1×
Citations per year, relative to Zhuoren Jiang
Zhuoren Jiang · 1×

Countries citing papers authored by Zhuoren Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Zhuoren Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuoren Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuoren Jiang. A scholar is included among the top collaborators of Zhuoren Jiang 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 Zhuoren Jiang. Zhuoren Jiang 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
# Work Indexed citations
1 0
2 3
3 3
4 0
5 1
6 2
7 2
8 7
9 4
10 3
11 6
12 4
13
An End-to-end Model of Predicting Diverse Ranking On Heterogeneous Feeds.
2
14 20
15 62
16 1
17
The Math Retrieval System of ICST for NTCIR-12 MathIR Task.
7
18
Random Walk and Feedback on Scholarly Network.
0
19 2
20
Citation Recommendation via Time-series Scholarly Topic Analysis and Publication Prior Analysis.
1

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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