Junmin Liu

3.0k total citations
102 papers, 2.0k citations indexed

About

Junmin Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Junmin Liu has authored 102 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 43 papers in Media Technology and 26 papers in Artificial Intelligence. Recurrent topics in Junmin Liu's work include Remote-Sensing Image Classification (30 papers), Advanced Image Fusion Techniques (27 papers) and Image and Signal Denoising Methods (13 papers). Junmin Liu is often cited by papers focused on Remote-Sensing Image Classification (30 papers), Advanced Image Fusion Techniques (27 papers) and Image and Signal Denoising Methods (13 papers). Junmin Liu collaborates with scholars based in China, United States and Australia. Junmin Liu's co-authors include Jiangshe Zhang, Shuang Xu, Chunxia Zhang, Zixiang Zhao, Chunxia Zhang, Kai Sun, Xiaoyi Ma, Bao Guo, Changsheng Zhou and Yee Leung and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of Cleaner Production.

In The Last Decade

Junmin Liu

92 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junmin Liu China 25 1.1k 1.1k 345 197 119 102 2.0k
Chunxia Zhang China 24 816 0.7× 645 0.6× 552 1.6× 137 0.7× 60 0.5× 124 1.8k
Yuhui Zheng China 27 1.6k 1.4× 931 0.9× 435 1.3× 142 0.7× 111 0.9× 96 2.6k
Yuhui Zheng China 20 959 0.9× 469 0.4× 412 1.2× 68 0.3× 89 0.7× 97 1.6k
Qin Xu China 17 1.5k 1.3× 660 0.6× 190 0.6× 72 0.4× 75 0.6× 59 2.1k
Amit Saxena India 8 1.3k 1.1× 538 0.5× 456 1.3× 258 1.3× 53 0.4× 40 2.1k
Yao Ding China 22 677 0.6× 1.1k 1.0× 425 1.2× 136 0.7× 48 0.4× 74 1.9k
Kun Zhan China 23 1.7k 1.5× 751 0.7× 850 2.5× 91 0.5× 130 1.1× 77 2.4k
Xinzhong Zhu China 23 1.4k 1.3× 434 0.4× 958 2.8× 69 0.4× 141 1.2× 97 2.3k

Countries citing papers authored by Junmin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junmin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junmin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Junmin Liu. A scholar is included among the top collaborators of Junmin Liu 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 Junmin Liu. Junmin Liu 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.
Liu, Junmin, et al.. (2025). DPCA: Dynamic multi-prototype cross-attention for change detection unsupervised domain adaptation of remote sensing images. Knowledge-Based Systems. 314. 113135–113135. 2 indexed citations
2.
Zhang, Haoran, et al.. (2025). Adaptive residual splitting in PINNs for solving complex PDEs. Journal of Computational Physics. 540. 114297–114297.
3.
Liu, Qian, et al.. (2025). FSGformer: Frequency Separation and Guidance Transformer for Pansharpening. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16.
4.
Gao, Fei, et al.. (2024). Multistep asymptotic pre-training strategy based on PINNs for solving steep boundary singular perturbation problems. Computer Methods in Applied Mechanics and Engineering. 431. 117222–117222. 3 indexed citations
5.
6.
Li, Jinhai, et al.. (2024). An Emerging Incremental Fuzzy Concept-Cognitive Learning Model Based on Granular Computing and Conceptual Knowledge Clustering. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(3). 2417–2432. 13 indexed citations
7.
Li, Shijie, et al.. (2023). Robust Teacher: Self-correcting pseudo-label-guided semi-supervised learning for object detection. Computer Vision and Image Understanding. 235. 103788–103788. 5 indexed citations
8.
Liu, Junmin, et al.. (2023). iTabNet: an improved neural network for tabular data and its application to predict socioeconomic and environmental attributes. Neural Computing and Applications. 35(15). 11389–11402. 7 indexed citations
9.
Zhang, Jiangshe, et al.. (2023). Understanding Short-Range Memory Effects in Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 10576–10590.
10.
11.
Zhao, Zixiang, Shuang Xu, Kai Sun, et al.. (2021). FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter. 1–6. 24 indexed citations
12.
Li, Huirong, Yuelin Gao, Junmin Liu, Jiangshe Zhang, & Chao Li. (2021). Semi-supervised graph regularized nonnegative matrix factorization with local coordinate for image representation. Signal Processing Image Communication. 102. 116589–116589. 11 indexed citations
13.
Guo, Bao, Chunxia Zhang, Junmin Liu, & Xiaoyi Ma. (2019). Improving text classification with weighted word embeddings via a multi-channel TextCNN model. Neurocomputing. 363. 366–374. 159 indexed citations
14.
Li, Huirong, Jiangshe Zhang, Guang Shi, & Junmin Liu. (2017). Graph-based discriminative nonnegative matrix factorization with label information. Neurocomputing. 266. 91–100. 41 indexed citations
15.
Li, Huirong, Jiangshe Zhang, Junying Hu, Chunxia Zhang, & Junmin Liu. (2016). Graph-based discriminative concept factorization for data representation. Knowledge-Based Systems. 118. 70–79. 21 indexed citations
16.
Liu, Junmin. (2011). The Improved Technology of GM(1,1) Model in Predicting Groundwater of Xianyang City. Shuitu baochi yanjiu. 1 indexed citations
17.
Lin, Chen, Junmin Liu, & Xiaoxue Liu. (2010). Application of Support Vector Machine in the groundwater quality evaluation.. Journal of Northwest A&F University. 38(11). 221–226. 2 indexed citations
18.
Liu, Junmin. (2009). Analysis of Price Elasticity of Industrial Water Amount. Jieshui guan'gai. 2 indexed citations
19.
Liu, Junmin. (2008). An improvement in CARBOLOG technique and its preliminary application to evaluating organic carbon content of source rocks. Geochimica. 5 indexed citations
20.
Li, Zhenfu, et al.. (2000). Seismic events recognition based on discrete Gabor distribution. Hedianzixue yu tance jishu. 20(6). 1 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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