Chaochao Chen

7.1k citations
194 papers · 5.1k · 2 hit papers · h-index 37

Impact in

Papers in

    • Recommender Systems and Techniques 74
    • Advanced Graph Neural Networks 38
    • Privacy-Preserving Technologies in Data 31
    • Topic Modeling 17
    • Stochastic Gradient Optimization Techniques 14
    • Domain Adaptation and Few-Shot Learning 11

Chaochao Chen

175 papers receiving 5.0k citations

Chaochao Chen's Hit Papers

Cross-Domain Recommendation: Challenges, Progress, and Prospects 2021 · 154 citations
1540+4+8Years since publication100200300400

Peers

Chaochao Chen
Comparison fields: 5 of 165
  • Information Systems 1.7k
  • Automotive Engineering 863
  • Artificial Intelligence 2.3k
  • Computational Mathematics 22
  • Control and Systems Engineering 784
Replace Haiying Shen with:
Haiying Shen United States
Ke Zhang China
Kai (Kevin) Zheng China
Lei Guo China
Jun Wu China
Bo Hao Cheng China
Yuguang Michael Fang United States
Daqiang Zhang China
Dinh Thai Hoang Australia
Junhao Wen China
Chaochao Chen relative to Haiying Shen United States Haiying Shen's profile →
Citations per field
00.5×2×4×6×7.3×
Haiying Shen · 1×
Citations per year

Countries citing papers authored by Chaochao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chaochao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chaochao Chen, 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 Chaochao Chen Line = papers co-authored together Chaochao Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1
State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation
Hit paper breakdown →
2014460
2 2013308
3 2018272
4 2019228
5 2010220
6 2019154
7
Cross-Domain Recommendation: Challenges, Progress, and Prospects
Hit paper breakdown →
2021154
8 2011126
9 2020122
10 2011109
11 2018104
12 201794
13 201677
14 201974
15 201565
16 202162
17 202262
18 201862
19 201261
20 202059

About Chaochao Chen

Chaochao Chen is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research and Control and Systems Engineering, having authored 194 papers that have together received 5.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (74 papers), Advanced Graph Neural Networks (38 papers), Privacy-Preserving Technologies in Data (31 papers), Topic Modeling (17 papers), Stochastic Gradient Optimization Techniques (14 papers), Advanced Bandit Algorithms Research (13 papers), Caching and Content Delivery (12 papers) and Domain Adaptation and Few-Shot Learning (11 papers). The work is most often cited by research in Information Systems (1.7k citations), Automotive Engineering (863 citations), Artificial Intelligence (2.3k citations), Computational Mathematics (22 citations) and Control and Systems Engineering (784 citations). Chaochao Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaolin Zheng, Michael Gerard Pecht, Nicholas Williard, George Vachtsevanos, Yan Wang, Jun Zhou, Wei He, Guanfeng Liu, Marcos E. Orchard and Xiaolong Li. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Expert Systems with Applications, ACM Transactions on Information Systems, Knowledge-Based Systems and Infection and Drug Resistance.

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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