Ling Chen

5.4k total citations · 2 hit papers
252 papers, 3.6k citations indexed

About

Ling Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ling Chen has authored 252 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 57 papers in Computer Vision and Pattern Recognition and 36 papers in Signal Processing. Recurrent topics in Ling Chen's work include Human Mobility and Location-Based Analysis (31 papers), Data Management and Algorithms (23 papers) and Context-Aware Activity Recognition Systems (20 papers). Ling Chen is often cited by papers focused on Human Mobility and Location-Based Analysis (31 papers), Data Management and Algorithms (23 papers) and Context-Aware Activity Recognition Systems (20 papers). Ling Chen collaborates with scholars based in China, United States and Hong Kong. Ling Chen's co-authors include Gencai Chen, Mingqi Lv, Liangying Peng, Ibrar Hussain, Tieming Chen, Abdul Majid, John R. Woodward, Yi Zhang, Weiqi Chen and Shouling Ji and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Ling Chen

223 papers receiving 3.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction

2020 202 citations Mingqi Lv, Ling Chen et al. profile →
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting

2023 96 citations Ling Chen, Binqing Wu et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ling Chen	815	799	783	568	568	252	3.6k
Paolo Nesi	700 0.9×	610 0.8×	342 0.4×	305 0.5×	373 0.7×	240	3.3k
Chang‐Tien Lu	323 0.4×	1.6k 2.0×	529 0.7×	781 1.4×	373 0.7×	223	3.5k
Yan Huang	731 0.9×	1.2k 1.6×	1.2k 1.5×	1.8k 3.2×	796 1.4×	205	4.7k
Yanjie Fu	560 0.7×	1.6k 2.0×	1.6k 2.0×	699 1.2×	920 1.6×	173	4.0k
Zhang Xiong	2.1k 2.6×	983 1.2×	583 0.7×	190 0.3×	442 0.8×	228	4.8k
Licia Capra	774 0.9×	943 1.2×	1.4k 1.9×	418 0.7×	584 1.0×	126	5.0k
Hao Peng	544 0.7×	2.9k 3.7×	517 0.7×	568 1.0×	647 1.1×	177	5.1k
Jason J. Jung	591 0.7×	1.4k 1.8×	333 0.4×	405 0.7×	219 0.4×	251	3.9k
Ross Maciejewski	1.6k 2.0×	1.2k 1.5×	442 0.6×	432 0.8×	296 0.5×	152	4.3k
Anand Paul	941 1.2×	973 1.2×	384 0.5×	386 0.7×	471 0.8×	168	4.8k

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-authorship network of co-authors of Ling Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Chen. A scholar is included among the top collaborators of Ling Chen 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 Ling Chen. Ling Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Ling, Xiaoxia Zhang, Meng Wang, et al.. (2025). Impact of enzymatic extruded brown rice flour on wheat-based dough properties and bread quality. Food Bioscience. 64. 105986–105986. 3 indexed citations

Chen, Ling, et al.. (2025). Degree-Heterogeneous Latent Class Analysis for High-Dimensional Discrete Data. Journal of the American Statistical Association. 120(552). 2435–2448.

Gerull, Katherine M., et al.. (2024). Impressions of inclusivity within orthopedic surgery: Differences amongst women, minority, and LGBTQIA medical students. The American Journal of Surgery. 241. 116051–116051. 2 indexed citations

Chen, Ling, Xujiang Zhao, Xuchao Zhang, et al.. (2024). Uncertainty Quantification for In-Context Learning of Large Language Models. 3357–3370. 5 indexed citations

Yang, Guancan, Di Liu, Ling Chen, & Kun Lü. (2024). Integrating persistence process into the analysis of technology convergence using STERGM. Journal of Informetrics. 19(1). 101632–101632.

Ding, Aizhong, et al.. (2024). Study on the remediation of uranium-contaminated soils by compound leaching: Screening of leaching agents and a pilot-scale application. Journal of Cleaner Production. 450. 141918–141918. 5 indexed citations

Chen, Ling, et al.. (2024). TPRNN: A top-down pyramidal recurrent neural network for time series forecasting. Information Sciences. 699. 121792–121792.

Chen, Ling, et al.. (2024). Improving the environmental temperature adaptability of an electric temperature measurement subsystem by matching temperature coefficients of substitutable resistors. Measurement Science and Technology. 35(6). 65012–65012. 1 indexed citations

Wells, Ryan S. & Ling Chen. (2024). Developmental Education for College Students with Learning and Attention Disabilities. Educational Policy. 39(4). 760–785.

10.

Chen, Ling, et al.. (2024). A Spectral Method for Identifiable Grade of Membership Analysis with Binary Responses. Psychometrika. 89(2). 626–657. 4 indexed citations

11.

Chen, Ling, et al.. (2023). Cross-Parallel Transformer: Parallel ViT for Medical Image Segmentation. Sensors. 23(23). 9488–9488. 5 indexed citations

12.

Chen, Ling, et al.. (2023). HMGAN. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(3). 1–27. 12 indexed citations

13.

Chen, Ling, et al.. (2023). Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity Recognition. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(4). 1–25. 12 indexed citations

14.

Wu, Peng, et al.. (2023). Exploring the impact of investor’s sentiment tendency in varying input window length for stock price prediction. Multimedia Tools and Applications. 82(18). 27415–27449. 9 indexed citations

15.

Chen, Ling, et al.. (2023). Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting. ACM Transactions on Knowledge Discovery from Data. 18(3). 1–20. 28 indexed citations

16.

Chen, Tieming, Chengyu Dong, Mingqi Lv, et al.. (2022). APT-KGL: An Intelligent APT Detection System Based on Threat Knowledge and Heterogeneous Provenance Graph Learning. IEEE Transactions on Dependable and Secure Computing. 1–15. 31 indexed citations

17.

Lv, Mingqi, et al.. (2021). Private Cell-ID Trajectory Prediction Using Multi-Graph Embedding and Encoder-Decoder Network. IEEE Transactions on Mobile Computing. 21(8). 2967–2977. 11 indexed citations

18.

Du, Juan, Jingxuan Liu, Mingqi Lv, et al.. (2021). An interpretable outcome prediction model based on electronic health records and hierarchical attention. International Journal of Intelligent Systems. 37(6). 3460–3479. 8 indexed citations

19.

Chen, Ling, Weizhe Zhang, Hui He, & Yu‐Chu Tian. (2020). Network perception task migration in cloud-edge fusion computing. Journal of Cloud Computing Advances Systems and Applications. 9(1). 11 indexed citations

20.

Huang, Huaguo, et al.. (2017). Topographic correction method for steep mountain terrain images. National Remote Sensing Bulletin. 21(5). 776–784. 4 indexed citations

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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