Ruihong Qiu

913 total citations · 1 hit paper
20 papers, 416 citations indexed

About

Ruihong Qiu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruihong Qiu has authored 20 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruihong Qiu's work include Recommender Systems and Techniques (7 papers), Advanced Graph Neural Networks (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Ruihong Qiu is often cited by papers focused on Recommender Systems and Techniques (7 papers), Advanced Graph Neural Networks (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Ruihong Qiu collaborates with scholars based in Australia, China and Hong Kong. Ruihong Qiu's co-authors include Zi Huang, Hongzhi Yin, Zijian Wang, Tong Chen, Zhiguo Yuan, Peng-Fei Zhang, Liu Ye, Bing‐Jie Ni, Ben van den Akker and Haoran Duan and has published in prestigious journals such as Environmental Science & Technology, Water Research and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Ruihong Qiu

16 papers receiving 409 citations

Hit Papers

Contrastive Learning for Representation Degeneration Prob... 2022 2026 2023 2024 2022 50 100 150 200

Peers

Ruihong Qiu
Comparison fields: 5 of 63
  • Information Systems 268
  • Artificial Intelligence 250
  • Management Science and Operations Research 76
  • Computer Vision and Pattern Recognition 75
  • Water Science and Technology 38
Replace Jinhong Jung with:
Jinhong Jung South Korea
Hanxiao Shi China
Hassina Seridi Algeria
Yimin Wen China
Anıl Utku Türkiye
Mohammad Javad Amiri United States
Ashok Kumar J India
Manash Sarkar India
Ching-Lai Hor United Kingdom
Yangjie Qin China
Jinhong Jung South Korea View profile →
Citations per field, relative to Ruihong Qiu
Ruihong Qiu · 1×
Citations per year, relative to Ruihong Qiu
Ruihong Qiu · 1×

Countries citing papers authored by Ruihong Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Ruihong Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruihong Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruihong Qiu. A scholar is included among the top collaborators of Ruihong Qiu 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 Ruihong Qiu. Ruihong Qiu 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 2
3 0
4 0
5 1
6 2
7 2
8 8
9 1
10 1
11 0
12 1
13 17
14 69
15 33
16 1
17
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation breakdown →
204
18 27
19 16
20 31

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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