Anran Li

1.0k total citations · 1 hit paper
50 papers, 588 citations indexed

About

Anran Li is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Anran Li has authored 50 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 6 papers in Computer Science Applications and 5 papers in Information Systems. Recurrent topics in Anran Li's work include Privacy-Preserving Technologies in Data (19 papers), Stochastic Gradient Optimization Techniques (7 papers) and Mobile Crowdsensing and Crowdsourcing (6 papers). Anran Li is often cited by papers focused on Privacy-Preserving Technologies in Data (19 papers), Stochastic Gradient Optimization Techniques (7 papers) and Mobile Crowdsensing and Crowdsourcing (6 papers). Anran Li collaborates with scholars based in China, Singapore and United States. Anran Li's co-authors include Xiang‐Yang Li, Lan Zhang, Wun Jern Ng, Darren Delai Sun, Peng Gao, Juntao Tan, Han Yu, Rui Liu, Cuntai Guan and Yang Liu and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Journal of Hazardous Materials.

In The Last Decade

Anran Li

45 papers receiving 585 citations

Hit Papers

Federated Graph Neural Networks: Overview, Techniques, an... 2024 2026 2025 2024 10 20 30 40 50
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.

  1. Federated Graph Neural Networks: Overview, Techniques, and Challenges
    2024 58 citations Rui Liu, Anran Li et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anran Li China 12 383 76 74 62 60 50 588
Zhuojun Duan United States 9 145 0.4× 47 0.6× 31 0.4× 89 1.4× 75 1.3× 27 433
Yutao Zhang China 9 295 0.8× 38 0.5× 25 0.3× 40 0.6× 97 1.6× 15 513
Yan Kang China 9 237 0.6× 12 0.2× 56 0.8× 81 1.3× 48 0.8× 31 405
Jiajun Cheng China 9 254 0.7× 37 0.5× 33 0.4× 30 0.5× 56 0.9× 30 452
Zhongqi Lu China 14 347 0.9× 25 0.3× 67 0.9× 110 1.8× 190 3.2× 16 748
Thibaut Lavril France 5 205 0.5× 136 1.8× 397 5.4× 93 1.5× 21 0.3× 5 703
Na Wang China 18 372 1.0× 29 0.4× 100 1.4× 152 2.5× 211 3.5× 97 842
Jun Ren China 11 135 0.4× 14 0.2× 34 0.5× 114 1.8× 51 0.8× 29 539

Countries citing papers authored by Anran Li

Since Specialization
Citations

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

Fields of papers citing papers by Anran Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anran Li

This figure shows the co-authorship network connecting the top 25 collaborators of Anran Li. A scholar is included among the top collaborators of Anran Li 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 Anran Li. Anran Li 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
1.
Li, Anran, et al.. (2025). FedPPO: Reinforcement Learning-Based Client Selection for Federated Learning With Heterogeneous Data. IEEE Transactions on Cognitive Communications and Networking. 11(6). 4141–4153. 2 indexed citations
2.
Huang, Jinyang, Youwei Zhang, Xiang Zhang, et al.. (2025). RF-Eye: Commodity RFID Can Know What You Write and Who You Are Wherever You Are. ACM Transactions on Sensor Networks. 21(4). 1–26.
3.
Ren, Chao, Han Yu, Yulan Gao, et al.. (2025). Advances and Open Challenges in Federated Foundation Models. IEEE Communications Surveys & Tutorials. 28. 2087–2126. 5 indexed citations
4.
Li, Anran, Yimin Yao, Zhenqiang Ye, et al.. (2024). Semi-in-situ thermal transport characterization of thermal interface materials through a low-frequency thermoreflectance technique. Measurement. 240. 115648–115648. 1 indexed citations
5.
Li, Anran, Ming Hu, Jianfei Sun, et al.. (2024). Joint Client-and-Sample Selection for Federated Learning via Bi-Level Optimization. IEEE Transactions on Mobile Computing. 23(12). 15196–15209.
6.
Li, Anran, et al.. (2024). An Empirical Study on Noisy Label Learning for Program Understanding. 1–12. 2 indexed citations
7.
Hu, Ming, Peiheng Zhou, Zhihao Yue, et al.. (2024). FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation. 2137–2150. 6 indexed citations
8.
Hu, Ming, et al.. (2024). FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(11). 4069–4080. 2 indexed citations
9.
Zhang, Lan, et al.. (2024). Privacy-Preserving Data Selection for Horizontal and Vertical Federated Learning. IEEE Transactions on Parallel and Distributed Systems. 35(11). 2054–2068.
10.
Dolezal, James M., Sara Kochanny, Emma Dyer, et al.. (2024). Slideflow: deep learning for digital histopathology with real-time whole-slide visualization. BMC Bioinformatics. 25(1). 134–134. 20 indexed citations
11.
Liu, Rui, Yuanyuan Chen, Anran Li, et al.. (2024). Aggregating intrinsic information to enhance BCI performance through federated learning. Neural Networks. 172. 106100–106100. 8 indexed citations
12.
Hu, Ming, Yue Cao, Anran Li, et al.. (2024). FedMut: Generalized Federated Learning via Stochastic Mutation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12528–12537. 10 indexed citations
13.
Li, Anran, et al.. (2023). Efficient and Privacy-Preserving Feature Importance-Based Vertical Federated Learning. IEEE Transactions on Mobile Computing. 23(6). 7238–7255. 11 indexed citations
14.
Li, Tianlin, Zhiming Li, Anran Li, et al.. (2023). Fairness via Group Contribution Matching. 436–445. 7 indexed citations
15.
Li, Anran, Sisi Zhou, Ziqi Ma, et al.. (2022). Preparation of metrological states in dipolar-interacting spin systems. npj Quantum Information. 8(1). 13 indexed citations
16.
Li, Anran, et al.. (2022). Existence and asymptotic behavior of solutions for a Schrödinger-Born-Infeld system in R 3 with a general nonlinearity. Journal of Mathematical Analysis and Applications. 516(2). 126555–126555. 1 indexed citations
17.
Ding, Fei, Wei Cao, Ningning Wang, et al.. (2022). Mechanistic Study on Transformation of Coamorphous Baicalein-Nicotinamide to Its Cocrystal Form. Journal of Pharmaceutical Sciences. 112(2). 513–524. 7 indexed citations
18.
Xiang, Rong, Yunfei Long, Anran Li, et al.. (2020). Ciron : a new benchmark dataset for Chinese irony detection. Language Resources and Evaluation. 5714–5720. 3 indexed citations
19.
Jiao, Rui, et al.. (2020). IEye: Personalized Image Privacy Detection. 91–95. 3 indexed citations
20.
Li, Anran, et al.. (2019). TODQA: Efficient Task-Oriented Data Quality Assessment. 81–88. 11 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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