Ling Chen

5.6k citations
277 papers · 4.0k · 2 hit papers · h-index 33

Impact in

    • Human Mobility and Location-Based Analysis
    • Transportation Planning and Optimization
    • Data Management and Algorithms
    • Time Series Analysis and Forecasting

Papers in

Ling Chen

256 papers receiving 3.9k citations

Ling Chen's Hit Papers

Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting 2023 · 113 citations
1130+2+4Years since publication50100150200

Peers

Ling Chen
Comparison fields: 5 of 185
  • Transportation 832
  • Signal Processing 640
  • Building and Construction 602
  • Computer Vision and Pattern Recognition 881
  • Artificial Intelligence 890
Replace Anand Paul with:
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Awais Ahmad South Korea
M. Mazhar Rathore South Korea
Licia Capra United Kingdom
Ross Maciejewski United States
Paolo Nesi Italy
Soumya K. Ghosh India
Ling Chen relative to Anand Paul South Korea Anand Paul's profile →
Citations per field
00.5×1.7×
Anand Paul · 1×
Citations per year

Countries citing papers authored by Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 277 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020237
2
Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction
Hit paper breakdown →
2020212
3 2012184
4 2014142
5
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting
Hit paper breakdown →
2023113
6 2018109
7 201084
8 201781
9 201770
10 201566
11 202059
12 201959
13 201559
14 200654
15 201654
16 200353
17 202053
18 201353
19 202248
20 202246

About Ling Chen

Ling Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications and Information Systems, having authored 277 papers that have together received 4.0k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (31 papers), Data Management and Algorithms (28 papers), Context-Aware Activity Recognition Systems (20 papers), Advanced Database Systems and Queries (15 papers), Recommender Systems and Techniques (14 papers), Topic Modeling (14 papers), Traffic Prediction and Management Techniques (13 papers) and Advanced Graph Neural Networks (12 papers). The work is most often cited by research in Transportation (832 citations), Signal Processing (640 citations), Building and Construction (602 citations), Computer Vision and Pattern Recognition (881 citations) and Artificial Intelligence (890 citations). Ling Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Gencai Chen, Mingqi Lv, Liangying Peng, Ibrar Hussain, Tieming Chen, Abdul Majid, John R. Woodward, Yi Zhang, Hamid Turab Mirza and Weiqi Chen. Their work appears in journals such as Information Sciences, International Journal of Human-Computer Interaction, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Information Processing & Management and Applied Intelligence.

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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