Ge Song

619 total citations
36 papers, 452 citations indexed

About

Ge Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ge Song has authored 36 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Ge Song's work include Advanced Image and Video Retrieval Techniques (13 papers), Multimodal Machine Learning Applications (11 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Ge Song is often cited by papers focused on Advanced Image and Video Retrieval Techniques (13 papers), Multimodal Machine Learning Applications (11 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Ge Song collaborates with scholars based in China, United States and Australia. Ge Song's co-authors include Xiaoyang Tan, Min Chen, Guoliang Fan, Guo‐Qiang Chen, Dong Wang, Jingyu Chen, Meng Ding, Dongmei Zhang, Ming Yang and Yingnong Dang and has published in prestigious journals such as Applied Microbiology and Biotechnology, Pattern Recognition and Molecular Physics.

In The Last Decade

Ge Song

33 papers receiving 436 citations

Peers

Countries citing papers authored by Ge Song

Since Specialization

Citations

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

Fields of papers citing papers by Ge Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Song

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Regional constraint consistency contrastive learning for automatic detection of urinary sediment in microscopic images 2025 ·Journal of Applied Biomedicine ·(unknown), Chen Li, Ge Song, (unknown), Shian Wang, (unknown), (unknown), (unknown)	5
2	KFCNet: A Key Feature Consistency Network for microscopic urinary sediment image classification 2025 ·Biomedical Signal Processing and Control ·Shunqing Wu, Ge Song, Meng Lou, Shian Wang, (unknown), (unknown), Mingguo Zhai, Hao Chen, Liang Gao, Fan Gao, (unknown), (unknown)	1
3	A general framework for chromosomal anomaly detection based on dual constraints of nearest-neighbor and regionality 2025 ·Engineering Applications of Artificial Intelligence ·Yue Hao, (unknown), Ge Song, (unknown), Lei Wang, (unknown), (unknown), (unknown)	1
4	Deep learning-based chromosome segmentation and extraction: A comprehensive review of methodologies, challenges, and future directions 2025 ·Neurocomputing ·Ge Song, (unknown), (unknown), (unknown), Shian Wang, (unknown), (unknown)	0
5	Deep continual hashing for real-world multi-label image retrieval 2023 ·Computer Vision and Image Understanding ·Ge Song, (unknown), (unknown), Fengyi Song, Ming Yang	3
6	Deep self-enhancement hashing for robust multi-label cross-modal retrieval 2023 ·Pattern Recognition ·Ge Song, (unknown), (unknown), Fengyi Song, Ming Yang	6
7	Enhanced label constrained contrastive learning for chromosome optical microscopic image classification 2023 ·Biomedical Signal Processing and Control ·(unknown), Ge Song, (unknown)	10
8	Exploring Occlusion-Sensitive Deep Network for Single-View 3D Face Reconstruction 2022 ·2022 IEEE International Conference on Image Processing (ICIP) ·Jing Wang, Shikun Zhang, Fengyi Song, Ge Song, (unknown)	2
9	Deep continual hashing with gradient-aware memory for cross-modal retrieval 2022 ·Pattern Recognition ·Ge Song, Xiaoyang Tan, Ming Yang	10
10	Bayesian denoising hashing for robust image retrieval 2018 ·Pattern Recognition ·Dong Wang, Ge Song, Xiaoyang Tan	10
11	Transferring Code-Clone Detection and Analysis to Practice 2017 ·Yingnong Dang, Dongmei Zhang, Ge Song, (unknown), (unknown), Tao Xie	20
12	Cross-modal Retrieval via Memory Network 2017 ·Ge Song, Xiaoyang Tan	2
13	Detecting topics and overlapping communities in question and answer sites 2015 ·Social Network Analysis and Mining ·(unknown), Fabien Gandon, Catherine Faron Zucker, Ge Song	1
14	A Wrapper for Extracting Information Records from Forums based on Page Segmentation 2014 ·International Journal of Database Theory and Application ·Chunshan Li, Jingjing Chen, Dianhui Chu, Ge Song, Haijun Zhang, Yunming Ye, Jianliang Xu	0
15	A molecular dynamics simulation on the relationship between contact angle and solid-liquid interfacial thermal resistance 2013 ·Acta Physica Sinica ·Ge Song, Min Chen	10
16	Effects of Surface Charge and Electric Field on the Interfacial Thermal Resistance at Liquid/Solid Interfaces 2012 ·Acta Physico-Chimica Sinica ·Ge Song, Min Chen, (unknown), (unknown)	3
17	Temperature dependence of thermal resistance at a solid/liquid interface 2012 ·Molecular Physics ·Ge Song, Min Chen	34
18	Engineering of polyhydroxyalkanoate (PHA) synthase PhaC2Ps of Pseudomonas stutzeri via site-specific mutation for efficient production of PHA copolymers 2011 ·Applied Microbiology and Biotechnology ·Xiaowen Shen, Zhenyu Shi, Ge Song, Zhengjun Li, Guo‐Qiang Chen	15
19	Calcium near the release site is essential for basal ACh release in Xenopus 2008 ·Cell Biology International ·Ruxin Li, Qi Lei, Ge Song, Xiangping He, Zuoping Xie	12
20	A lower specificity PhaC2 synthase from Pseudomonas stutzeri catalyses the production of copolyesters consisting of short-chain-length and medium-chain-length 3-hydroxyalkanoates 2006 ·Antonie van Leeuwenhoek ·Jingyu Chen, Ge Song, Guo‐Qiang Chen	34

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yu Gai Breakdown of academic impact, for papers by Prashant Sharma Breakdown of academic impact, for papers by Yingjie Wang Breakdown of academic impact, for papers by Shikun Li Breakdown of academic impact, for papers by Kai Yao Breakdown of academic impact, for papers by Yi Cai