Ivan Lee

9.6k total citations · 1 hit paper
286 papers, 7.1k citations indexed

About

Ivan Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ivan Lee has authored 286 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 42 papers in Computer Networks and Communications. Recurrent topics in Ivan Lee's work include Advanced X-ray Imaging Techniques (27 papers), Complex Network Analysis Techniques (17 papers) and Advancements in PLL and VCO Technologies (14 papers). Ivan Lee is often cited by papers focused on Advanced X-ray Imaging Techniques (27 papers), Complex Network Analysis Techniques (17 papers) and Advancements in PLL and VCO Technologies (14 papers). Ivan Lee collaborates with scholars based in Australia, United States and China. Ivan Lee's co-authors include Feng Xia, Kamel Fezzaa, John J. Socha, Mark W. Westneat, Xiaomei Bai, Natalia Abuladze, Ira Kurtz, Debra K. Newman, Alexander Pushkin and Jun Ma and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Ivan Lee

270 papers receiving 6.9k citations

Hit Papers

Highly Sensitive, Wearabl... 2016 2026 2019 2022 2016 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Ivan Lee 1.3k 857 846 836 760 286 7.1k
Stéfan van der Walt 836 0.6× 216 0.3× 1.4k 1.7× 569 0.7× 943 1.2× 24 11.8k
Richard H. Byrd 849 0.7× 183 0.2× 618 0.7× 1.1k 1.3× 2.0k 2.7× 69 12.4k
John R. Taylor 680 0.5× 145 0.2× 502 0.6× 530 0.6× 640 0.8× 252 10.2k
Qian Liu 1.1k 0.9× 183 0.2× 2.4k 2.9× 604 0.7× 250 0.3× 607 11.3k
Lei Shi 544 0.4× 132 0.2× 372 0.4× 1.1k 1.3× 644 0.8× 456 4.8k
S. K. Joshi 559 0.4× 143 0.2× 2.1k 2.5× 361 0.4× 416 0.5× 538 13.0k
Ciyou Zhu 484 0.4× 155 0.2× 461 0.5× 404 0.5× 1.1k 1.4× 11 6.4k
John A. Lee 529 0.4× 1.8k 2.1× 756 0.9× 198 0.2× 1.4k 1.8× 281 9.3k
Jeffrey C. Lagarias 946 0.7× 84 0.1× 333 0.4× 1.2k 1.4× 1.3k 1.7× 192 10.8k
G. Beni 591 0.5× 369 0.4× 198 0.2× 1.7k 2.0× 1.5k 2.0× 117 7.1k

Countries citing papers authored by Ivan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Lee. A scholar is included among the top collaborators of Ivan Lee 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 Ivan Lee. Ivan Lee 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
2.
Kabir, Md. Ahasan, Ivan Lee, C. B. Singh, et al.. (2025). Aflatoxin B1 contamination level detection in almond kernels through short wave infrared hyperspectral image analysis. SHILAP Revista de lepidopterología. 4(4). 363–372. 1 indexed citations
3.
Zhao, Jia, Fujun Chen, Renbin Xiao, et al.. (2025). Multi-modal multi-objective wolf pack algorithm with circumferential scouting and intra-niche interactions. Swarm and Evolutionary Computation. 93. 101842–101842. 3 indexed citations
4.
Yu, Shuo, Shuo Wang, Tao Tang, et al.. (2025). CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems. ACM Transactions on Information Systems. 43(6). 1–29.
5.
Lv, Li, et al.. (2025). Multi-modal multi-objective firefly algorithm with multi-stage niches and route planning application. Expert Systems with Applications. 296. 129264–129264.
7.
Manuel, Douglas G., Ivan Lee, Mathew Thomson, et al.. (2024). Wastewater-based surveillance of SARS-CoV-2: Short-term projection (forecasting), smoothing and outlier identification using Bayesian smoothing. The Science of The Total Environment. 949. 174937–174937.
8.
Dai, Jiabin, et al.. (2024). An eco-friendly approach for graphene nanoplatelets by innovative wet thermal expansion and liquid-phase exfoliation. Applied Surface Science. 681. 161497–161497. 3 indexed citations
9.
Xia, Feng, et al.. (2024). SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation. Engineering Applications of Artificial Intelligence. 136. 109030–109030. 3 indexed citations
10.
Lee, Ivan, et al.. (2024). Influence of cladding attachment structural elements on the thermal performance of lightweight steel-framed walls. Journal of Building Engineering. 87. 108838–108838. 3 indexed citations
11.
Kong, Xiangjie, et al.. (2024). Unbiased Anomalous Trajectory Detection With Hierarchical Sequence Modeling. IEEE Transactions on Consumer Electronics. 71(1). 388–401.
12.
Lee, Ivan, et al.. (2024). Semi-PKD: Semi-supervised Pseudoknowledge Distillation for saliency prediction. ICT Express. 11(2). 364–370. 1 indexed citations
13.
Lee, Ivan, Yu Takahashi, Takashi Sasaki, Yoshio Yamauchi, & Ryuichiro Sato. (2024). Human colon organoid differentiation from induced pluripotent stem cells using an improved method. FEBS Letters. 599(6). 912–924. 2 indexed citations
15.
Xia, Feng, et al.. (2023). Explainable Knowledge Distillation for On-Device Chest X-Ray Classification. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(4). 846–856. 14 indexed citations
16.
Qiu, Tie, et al.. (2022). On-Device Saliency Prediction Based on Pseudoknowledge Distillation. IEEE Transactions on Industrial Informatics. 18(9). 6317–6325. 16 indexed citations
17.
Xia, Feng, Shuo Yu, Chengfei Liu, Jianxin Li, & Ivan Lee. (2021). CHIEF: Clustering With Higher-Order Motifs in Big Networks. IEEE Transactions on Network Science and Engineering. 9(3). 990–1005. 31 indexed citations
18.
Qiu, Tie, et al.. (2019). A Novel Shortcut Addition Algorithm With Particle Swarm for Multisink Internet of Things. IEEE Transactions on Industrial Informatics. 16(5). 3566–3577. 25 indexed citations
19.
Lee, Ivan. (2017). Research complexity of Australian universities. Journal of the Association for Information Systems. 98. 2 indexed citations
20.
Kaiser, Alexander, Jaco Klok, John J. Socha, et al.. (2007). Increase in tracheal investment with beetle size supports hypothesis of oxygen limitation on insect gigantism. Proceedings of the National Academy of Sciences. 104(32). 13198–13203. 126 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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