Lanjun Wang

2.6k total citations · 1 hit paper
84 papers, 1.6k citations indexed

About

Lanjun Wang is a scholar working on Artificial Intelligence, Pollution and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lanjun Wang has authored 84 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 22 papers in Pollution and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lanjun Wang's work include Pharmaceutical and Antibiotic Environmental Impacts (19 papers), Adversarial Robustness in Machine Learning (11 papers) and Pesticide and Herbicide Environmental Studies (11 papers). Lanjun Wang is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (19 papers), Adversarial Robustness in Machine Learning (11 papers) and Pesticide and Herbicide Environmental Studies (11 papers). Lanjun Wang collaborates with scholars based in China, South Korea and Canada. Lanjun Wang's co-authors include Jian Pei, Lusheng Zhu, Jun Wang, Lingyang Chu, Jinhua Wang, Zirui Zhou, Yong Zhang, Yutao Huang, Jiangchuan Liu and Rui Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Lanjun Wang

71 papers receiving 1.6k citations

Hit Papers

Personalized Cross-Silo Federated Learning on Non-IID Data 2021 2026 2022 2024 2021 100 200 300 400
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. Personalized Cross-Silo Federated Learning on Non-IID Data
    2021 426 citations Yutao Huang, Lingyang Chu 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
Lanjun Wang China 20 642 449 176 168 148 84 1.6k
Jesús González Spain 30 817 1.3× 729 1.6× 162 0.9× 389 2.3× 91 0.6× 169 3.1k
Lei Chen China 23 594 0.9× 39 0.1× 161 0.9× 287 1.7× 111 0.8× 219 2.4k
Lili Su China 19 530 0.8× 67 0.1× 64 0.4× 291 1.7× 58 0.4× 70 1.3k
Tongxin Li China 18 175 0.3× 116 0.3× 24 0.1× 157 0.9× 180 1.2× 92 1.1k
Zhikai Zhang China 21 260 0.4× 145 0.3× 109 0.6× 525 3.1× 343 2.3× 68 1.7k
Yanan Cao China 22 481 0.7× 113 0.3× 67 0.4× 151 0.9× 230 1.6× 101 1.8k
Yue Wu China 27 286 0.4× 53 0.1× 42 0.2× 788 4.7× 107 0.7× 125 2.2k
Miao Liu China 20 784 1.2× 61 0.1× 179 1.0× 400 2.4× 49 0.3× 74 2.0k
Lu Lu China 18 172 0.3× 110 0.2× 231 1.3× 207 1.2× 369 2.5× 97 1.0k

Countries citing papers authored by Lanjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lanjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanjun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lanjun Wang. A scholar is included among the top collaborators of Lanjun Wang 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 Lanjun Wang. Lanjun Wang 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.
Wang, Lanjun, et al.. (2025). Few-Shot In-Context Learning for Implicit Semantic Multimodal Content Detection and Interpretation. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 9545–9558. 1 indexed citations
2.
Li, Shuhan, Lanjun Wang, Jin Li, et al.. (2025). Migration characteristics and toxic effects of perfluorooctane sulfonate and perfluorobutane sulfonate in tobacco. The Science of The Total Environment. 961. 178405–178405. 3 indexed citations
3.
Wang, Lanjun, et al.. (2025). MarkPlugger: Generalizable Watermark Framework for Latent Diffusion Models Without Retraining. IEEE Transactions on Multimedia. 27. 6211–6220. 1 indexed citations
4.
Xu, Ning, et al.. (2025). Medical VLP Model Is Vulnerable: Toward Multimodal Adversarial Attack on Large Medical Vision-Language Models. IEEE Transactions on Circuits and Systems for Video Technology. 36(2). 2478–2491.
5.
Nie, Weizhi, et al.. (2025). ContentDM: A Layout Diffusion Model for Content-Aware Layout Generation. IEEE Transactions on Artificial Intelligence. 6(8). 2215–2225.
6.
Song, Dan, Wenhui Li, Lanjun Wang, et al.. (2025). MMPFormer: A Memory-Aware Multiscale Predictive Transformer for Precipitation Nowcasting. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 1 indexed citations
7.
Zhang, Chenyu, et al.. (2024). Adversarial attacks and defenses on text-to-image diffusion models: A survey. Information Fusion. 114. 102701–102701. 4 indexed citations
8.
Xu, Ning, Jing Liu, Lanjun Wang, et al.. (2024). Model Can Be Subtle: Two Important Mechanisms for Social Media Popularity Prediction. ACM Transactions on Multimedia Computing Communications and Applications. 21(2). 1–20.
9.
Zhang, Xuzhi, Yuanfei Gao, Lanjun Wang, et al.. (2024). Rhizosphere bacteria G-H27 significantly promoted the degradation of chlorpyrifos and fosthiazate. The Science of The Total Environment. 917. 169838–169838. 3 indexed citations
10.
Liu, Changrui, Lanjun Wang, Shuhan Li, et al.. (2024). Characteristics of biological manganese oxides produced by manganese-oxidizing bacteria H38 and its removal mechanism of oxytetracycline. Environmental Pollution. 345. 123432–123432. 16 indexed citations
11.
Liu, An-An, Lanjun Wang, Bin Li, et al.. (2024). Review on the progress of the AIGC visual content generation and traceability. Journal of Image and Graphics. 29(6). 1535–1554.
12.
Wang, Lanjun, et al.. (2024). AnyScene: Customized Image Synthesis with Composited Foreground. 8724–8733.
13.
Wang, Zan, et al.. (2023). Stratified random sampling for neural network test input selection. Information and Software Technology. 165. 107331–107331. 12 indexed citations
14.
Li, Wenhui, et al.. (2023). Progressive Positive Association Framework for Image and Text Retrieval. 4807–4815. 1 indexed citations
15.
Liu, Changrui, Shuhan Li, Yu Tian, et al.. (2023). Enhanced remediation of chlorpyrifos-contaminated soil by immobilized strain Bacillus H27. Journal of Environmental Sciences. 144. 172–184. 14 indexed citations
16.
Liu, Changrui, Lanjun Wang, Lusheng Zhu, et al.. (2023). Biodegradation mechanism of chlorpyrifos by Bacillus sp. H27: Degradation enzymes, products, pathways and whole genome sequencing analysis. Environmental Research. 239(Pt 1). 117315–117315. 16 indexed citations
17.
Yang, Rui, Lanjun Wang, Lusheng Zhu, et al.. (2023). Immobilization of Bacillus Thuringiensis and applicability in removal of sulfamethazine from soil. Environmental Pollution. 333. 122080–122080. 12 indexed citations
18.
Liu, An-An, Heyu Zhou, Xuanya Li, & Lanjun Wang. (2022). Vulnerability of Feature Extractors in 2D Image-Based 3D Object Retrieval. IEEE Transactions on Multimedia. 25. 5065–5076. 8 indexed citations
19.
Huang, Yutao, Lingyang Chu, Zirui Zhou, et al.. (2020). Personalized Federated Learning: An Attentive Collaboration Approach.. arXiv (Cornell University). 10 indexed citations
20.

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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