Lang Li

1.1k total citations · 1 hit paper
65 papers, 713 citations indexed

About

Lang Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Lang Li has authored 65 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 10 papers in Hardware and Architecture. Recurrent topics in Lang Li's work include Cryptographic Implementations and Security (34 papers), Chaos-based Image/Signal Encryption (20 papers) and Coding theory and cryptography (17 papers). Lang Li is often cited by papers focused on Cryptographic Implementations and Security (34 papers), Chaos-based Image/Signal Encryption (20 papers) and Coding theory and cryptography (17 papers). Lang Li collaborates with scholars based in China, Macao and United States. Lang Li's co-authors include Botao Liu, Zhao Da, Hui Wang, Li Hu, Hongyang Yan, Xiaozhang Liu, Yi Zou, Yimeng Zhou, Vladimir Koltchinskii and Jinggen Liu and has published in prestigious journals such as The Plant Journal, IEEE Access and Pattern Recognition.

In The Last Decade

Lang Li

55 papers receiving 692 citations

Hit Papers

Corporate finance risk prediction based on LightGBM 2022 2026 2023 2024 2022 40 80 120
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. Corporate finance risk prediction based on LightGBM
    2022 123 citations Lang 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
Lang Li China 13 441 286 65 61 58 65 713
Tianyu Liu China 16 388 0.9× 73 0.3× 86 1.3× 6 0.1× 54 0.9× 45 705
Weimin Chen China 12 188 0.4× 52 0.2× 42 0.6× 24 0.4× 197 3.4× 44 494
Pei-Yi Hao Taiwan 12 404 0.9× 262 0.9× 76 1.2× 3 0.0× 32 0.6× 30 793
Mohamad Afendee Mohamed Malaysia 17 145 0.3× 195 0.7× 117 1.8× 11 0.2× 248 4.3× 97 760
Guangquan Cheng China 15 340 0.8× 160 0.6× 48 0.7× 2 0.0× 89 1.5× 43 703
Reza Monsefi Iran 15 428 1.0× 112 0.4× 162 2.5× 10 0.2× 211 3.6× 63 797
Maqsood Mahmud Saudi Arabia 14 219 0.5× 157 0.5× 77 1.2× 10 0.2× 65 1.1× 48 576
Grzegorz Świrszcz United States 11 239 0.5× 77 0.3× 56 0.9× 14 0.2× 55 0.9× 32 625
Hadi Fanaee‐T Sweden 11 279 0.6× 49 0.2× 67 1.0× 17 0.3× 51 0.9× 23 547

Countries citing papers authored by Lang Li

Since Specialization
Citations

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

Fields of papers citing papers by Lang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Lang Li. A scholar is included among the top collaborators of Lang 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 Lang Li. Lang 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, Lang, et al.. (2025). Transfer learning-based few-shot sample deep learning-assisted template attacks. Physical Communication. 72. 102710–102710.
2.
Xia, Shudong, et al.. (2025). Optimizing label correlation in deep learning-based side-channel analysis. Microelectronics Journal. 162. 106721–106721.
3.
Li, Lang, et al.. (2024). Efficient implementations of CRAFT cipher for Internet of Things. Computers & Electrical Engineering. 116. 109168–109168. 2 indexed citations
4.
Li, Lang, et al.. (2024). IoVCipher: A low-latency lightweight block cipher for internet of vehicles. Ad Hoc Networks. 160. 103524–103524. 4 indexed citations
5.
Li, Lang, et al.. (2024). Enhancing neural distinguishers with partial difference bits leakage. Internet of Things. 29. 101438–101438.
6.
Li, Lang, et al.. (2024). GFLE: a low-energy lightweight block cipher based on a variant of generalized Feistel structure. Physica Scripta. 99(8). 85121–85121. 2 indexed citations
7.
Li, Lang, et al.. (2024). LPHD: A low power and high diffusion lightweight block cipher. International Journal of Circuit Theory and Applications. 52(12). 6424–6447. 2 indexed citations
8.
Li, Lang, et al.. (2024). INLEC: An involutive and low energy lightweight block cipher for internet of things. Pervasive and Mobile Computing. 105. 101991–101991. 3 indexed citations
9.
Li, Lang, et al.. (2023). IIoTBC: A Lightweight Block Cipher for Industrial IoT Security. KSII Transactions on Internet and Information Systems. 17(1). 2 indexed citations
10.
Li, Lang, et al.. (2023). SAND-2: An optimized implementation of lightweight block cipher. Integration. 91. 23–34. 6 indexed citations
11.
Li, Lang, et al.. (2023). Side-channel analysis based on Siamese neural network. The Journal of Supercomputing. 80(4). 4423–4450. 2 indexed citations
12.
Li, Lang, et al.. (2023). DABC: A dynamic ARX-based lightweight block cipher with high diffusion. KSII Transactions on Internet and Information Systems. 17(1). 1 indexed citations
13.
Li, Lang, et al.. (2023). LELBC: A low energy lightweight block cipher for smart agriculture. Internet of Things. 25. 101022–101022. 12 indexed citations
14.
Li, Lang, et al.. (2022). A new S-box construction method meeting strict avalanche criterion. Journal of Information Security and Applications. 66. 103135–103135. 10 indexed citations
15.
Li, Di, et al.. (2022). CKGS: A Way Of Compressed Key Guessing Space to Reduce Ghost Peaks. KSII Transactions on Internet and Information Systems. 16(3).
16.
Li, Lang, et al.. (2021). Shadow: A Lightweight Block Cipher for IoT Nodes. IEEE Internet of Things Journal. 8(16). 13014–13023. 48 indexed citations
17.
Li, Lang, Fawang Liu, Libo Feng, & Ian Turner. (2019). A Galerkin finite element method for the modified distributed-order anomalous sub-diffusion equation. Journal of Computational and Applied Mathematics. 368. 112589–112589. 10 indexed citations
18.
Li, Lang. (2015). Analysis on the Interaction and Integration of Piano Education and Moral Education in Colleges and Universities. Higher education of social science. 9(5). 69–73. 1 indexed citations
19.
Li, Lang. (2012). Geological Features of Luodian Tremolite Deposit,Guizhou Province,China and Its Prospecting Prediction. Acta Mineralogica Sinica. 2 indexed citations
20.
Koltchinskii, Vladimir & Lang Li. (1998). Testing for Spherical Symmetry of a Multivariate Distribution. Journal of Multivariate Analysis. 65(2). 228–244. 15 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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