Zhaochun Ren

7.3k citations
147 papers · 3.9k indexed · 1 hit paper · h-index 33
Topics
Topic Modeling (79 papers)Natural Language Processing Techniques (43 papers)Recommender Systems and Techniques (42 papers)
Journals
SHILAP Revista de lepidopterologíaNeurocomputingIEEE Transactions on Knowledge and Data Engineering

In The Last Decade

Zhaochun Ren

132 papers receiving 3.8k citations

Hit Papers

Neural Attentive Session-based Recommendation20172026202020232017250500750

Peers

Zhaochun Ren
Comparison fields: 5 of 105
  • Artificial Intelligence 3.1k
  • Information Systems 2.2k
  • Computer Vision and Pattern Recognition 731
  • Management Science and Operations Research 455
  • Computer Networks and Communications 240
Replace Yongfeng Zhang with:
Yongfeng Zhang United States
Fuli Feng China
Zhumin Chen China
Fangzhao Wu China
Jun Ma China
Donald Metzler United States
Xiuqiang He China
Kuansan Wang United States
Wen-tau Yih United States
Zhaochun Ren relative to Yongfeng Zhang United States Yongfeng Zhang's profile →
Citations per field
00.5×1.6×
Yongfeng Zhang · 1×
Citations per year

Countries citing papers authored by Zhaochun Ren

Since Specialization
Citations

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

Fields of papers citing papers by Zhaochun Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaochun Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaochun Ren. A scholar is included among the top collaborators of Zhaochun Ren 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 Zhaochun Ren. Zhaochun Ren 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 13
2 0
3 1
4 1
5 0
6 2
7 0
8 1
9 1
10 12
11 8
12 2
13 4
14 3
15 8
16 27
17 0
18 1
19 32
20 15

About Zhaochun Ren

Zhaochun Ren is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 147 papers that have together received 3.9k indexed citations. Recurring topics across this work include Topic Modeling (79 papers), Natural Language Processing Techniques (43 papers) and Recommender Systems and Techniques (42 papers). The work is most often cited by research in Information Systems (2.2k citations), Artificial Intelligence (3.1k citations) and Management Science and Operations Research (455 citations). Zhaochun Ren has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Pengjie Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, Tao Lian, Jing Li, Shangsong Liang, Piji Li, Dawei Yin and Lidong Bing. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

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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