Zhixiang Ren

3.5k total citations
45 papers, 713 citations indexed

About

Zhixiang Ren is a scholar working on Molecular Biology, Astronomy and Astrophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhixiang Ren has authored 45 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Astronomy and Astrophysics and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhixiang Ren's work include Pulsars and Gravitational Waves Research (8 papers), Visual Attention and Saliency Detection (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Zhixiang Ren is often cited by papers focused on Pulsars and Gravitational Waves Research (8 papers), Visual Attention and Saliency Detection (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Zhixiang Ren collaborates with scholars based in China, Singapore and Palestinian Territory. Zhixiang Ren's co-authors include Liang-Tien Chia, Shenghua Gao, Ivor W. Tsang, Deepu Rajan, Zhoujian Cao, Yiqun Hu, Yajuan Lü, Qun Liu, Jie Cao and Yiming Ren and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Image Processing and The Journal of Physical Chemistry Letters.

In The Last Decade

Zhixiang Ren

39 papers receiving 675 citations

Peers

Zhixiang Ren

CVPR

Ravi Kumar India

Kohei Inoue Japan

Vasile Manta Romania

Steven Bergner Canada

Andreas Engel Germany

Ayub Khan India

Liangjian Wen China

Jean Martinet France

Colas Schretter Belgium

Jean De Dieu Nkapkop Cameroon

Ravi Kumar India

Zhixiang Ren

515 ×1.3

CVPR

148 ×1.1

5 ×0.0

34 ×0.3

5 ×0.1

Citations per year, relative to Zhixiang Ren Zhixiang Ren (= 1×) peers Ravi Kumar

Countries citing papers authored by Zhixiang Ren

Since Specialization

Citations

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

Fields of papers citing papers by Zhixiang Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhixiang Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Zhixiang Ren. A scholar is included among the top collaborators of Zhixiang Ren 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 Zhixiang Ren. Zhixiang Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Nie, Zhiwei, Yutian Liu, Zhihong Liu, et al.. (2025). Predicting protein stability changes upon mutations with dual-view ensemble learning from single sequence. Briefings in Bioinformatics. 26(4).

Liu, Xudong, Hao-Rui Si, Yutian Liu, et al.. (2025). Generative prediction of real-world prevalent SARS-CoV-2 mutation with in silico virus evolution. Briefings in Bioinformatics. 26(3). 1 indexed citations

Ren, Zhixiang, et al.. (2025). Rapid eccentric spin-aligned binary black hole waveform generation based on deep learning. Physical review. D. 111(4). 4 indexed citations

Tao, Jun, et al.. (2025). A quantitative analysis of knowledge-learning preferences in large language models in molecular science. Nature Machine Intelligence. 7(2). 315–327. 1 indexed citations

Sun, Shuqing, et al.. (2025). Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective. Briefings in Bioinformatics. 26(2). 10 indexed citations

Ren, Zhixiang, et al.. (2024). Cytokine expression patterns: A single-cell RNA sequencing and machine learning based roadmap for cancer classification. Computational Biology and Chemistry. 109. 108025–108025.

Wang, He, et al.. (2024). WaveFormer: transformer-based denoising method for gravitational-wave data. Machine Learning Science and Technology. 5(1). 15046–15046. 11 indexed citations

Fang, Yitian, et al.. (2024). CELA-MFP: a contrast-enhanced and label-adaptive framework for multi-functional therapeutic peptides prediction. Briefings in Bioinformatics. 25(4). 6 indexed citations

Ren, Yiming, et al.. (2024). GIT-Mol: A multi-modal large language model for molecular science with graph, image, and text. Computers in Biology and Medicine. 171. 108073–108073. 35 indexed citations

10.

Ren, Zhixiang, et al.. (2024). Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey. Big Data Mining and Analytics. 7(3). 858–888. 4 indexed citations

11.

Ren, Zhixiang, et al.. (2024). Characterization of the novel HLA‐DRB1*16:76 allele in a Chinese individual. HLA. 103(2). e15395–e15395. 2 indexed citations

12.

Hao, Qing, Yuelan Wang, Zhixiang Ren, Heng Xu, & Yan Zhang. (2024). The novel HLA‐A*11:01:124 allele was identified in a Chinese individual. HLA. 103(1). e15296–e15296. 2 indexed citations

13.

Xu, Long, Xiaoshuai Zhu, Sixuan Liu, et al.. (2023). A Large-Scale Dataset of Three-Dimensional Solar Magnetic Fields Extrapolated by Nonlinear Force-Free Method. Scientific Data. 10(1). 178–178. 3 indexed citations

14.

Wang, He, et al.. (2023). Space-based gravitational wave signal detection and extraction with deep neural network. Communications Physics. 6(1). 17 indexed citations

15.

Fang, Yitian, Yi Jiang, Leyi Wei, et al.. (2023). DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model. Bioinformatics. 39(12). 46 indexed citations

16.

Chen, Jie, Yu Wang, Kai Wang, et al.. (2023). Running ahead of evolution—AI-based simulation for predicting future high-risk SARS-CoV-2 variants. The International Journal of High Performance Computing Applications. 37(6). 650–665. 6 indexed citations

17.

Ren, Zhixiang, et al.. (2023). Attention-Based Deep Learning Model for Image Desaturation of SDO/AIA. Research in Astronomy and Astrophysics. 23(8). 85004–85004. 2 indexed citations

18.

Ren, Zhixiang, et al.. (2022). Image Desaturation for SDO/AIA Using Mixed Convolution Network. Research in Astronomy and Astrophysics. 22(6). 65009–65009. 4 indexed citations

19.

Ren, Zhixiang, et al.. (2022). Super-resolution of Solar Magnetograms Using Deep Learning. Research in Astronomy and Astrophysics. 22(8). 85018–85018. 11 indexed citations

20.

He, Zhongjun, Haitao Mi, Yang Liu, et al.. (2007). The ICT Statistical Machine Translation Systems for IWSLT 2007. IWSLT. 119–124. 2 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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