Duantengchuan Li

822 citations
19 papers · 541 indexed · 1 hit paper · h-index 11

Duantengchuan Li

17 papers receiving 532 citations

Hit Papers

EDMF: Efficient Deep Matrix Factorization With Review Fea...178202120262022202450100150

Peers

Duantengchuan Li
Comparison fields: 5 of 77
  • Artificial Intelligence 311
  • Information Systems 191
  • Computer Vision and Pattern Recognition 171
  • Computational Mathematics 2
  • Human-Computer Interaction 18
Replace C. Ravindranath Chowdary with:
C. Ravindranath Chowdary India
Jiazhang Wang United States
Hai Liu China
Qingyi Hua China
Majdi Rawashdeh Saudi Arabia
Yasufumi Takama Japan
Xiaofei Zhu China
Yanbin Hao China
Yihong Dong China
Matin Pirouz United States
Duantengchuan Li relative to C. Ravindranath Chowdary India C. Ravindranath Chowdary's profile →
Citations per field
00.5×
C. Ravindranath Chowdary · 1×
Citations per year

Countries citing papers authored by Duantengchuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Duantengchuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Duantengchuan Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Duantengchuan Li Line = papers co-authored together Duantengchuan Li links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20250
2 20251
3 202410
4 20244
5 202420
6 202413
7 202414
8 20248
9 20248
10 202339
11 202327
12 20230
13 202316
14 20237
15 202313
16 20238
17
EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender Systembreakdown →
2021178
18 2021107
19 202168

About Duantengchuan Li

Duantengchuan Li is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 19 papers that have together received 541 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Advanced Graph Neural Networks (7 papers), Topic Modeling (4 papers), Complex Network Analysis Techniques (4 papers), IoT and Edge/Fog Computing (2 papers), Visual Attention and Saliency Detection (2 papers), Face and Expression Recognition (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Artificial Intelligence (311 citations), Information Systems (191 citations) and Computer Vision and Pattern Recognition (171 citations). Duantengchuan Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ke Lin, Zhaoli Zhang, Naixue Xiong, Hai Liu, Xiaoxuan Shen, Jiazhang Wang, Zhen Zhang, Zhifei Li, Bing Li and Jian Wang. Their work appears in journals such as Information Processing & Management, Information Sciences, Neurocomputing, IEEE Transactions on Services Computing and Biomedical Signal Processing and Control.

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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