Qingqing Long

607 total citations
19 papers, 326 citations indexed

About

Qingqing Long is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Qingqing Long has authored 19 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Qingqing Long's work include Bioinformatics and Genomic Networks (2 papers), Glaucoma and retinal disorders (2 papers) and Cancer-related molecular mechanisms research (2 papers). Qingqing Long is often cited by papers focused on Bioinformatics and Genomic Networks (2 papers), Glaucoma and retinal disorders (2 papers) and Cancer-related molecular mechanisms research (2 papers). Qingqing Long collaborates with scholars based in China, United States and Oman. Qingqing Long's co-authors include Yafei Li, Wei Gao, Zhen Zhang, Zhijian Yang, Jian Zhang, Lian‐Sheng Wang, Jianjun Yan, Qiming Wang, Ze‐Mu Wang and Yao Ma and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Qingqing Long

15 papers receiving 323 citations

Peers

Qingqing Long
Sarah Pedretti South Africa
Kar Sheng Lew New Zealand
Qingqing Long
Citations per year, relative to Qingqing Long Qingqing Long (= 1×) peers Rokhsana Mortuza

Countries citing papers authored by Qingqing Long

Since Specialization
Citations

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

Fields of papers citing papers by Qingqing Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingqing Long

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

All Works

19 of 19 papers shown
1.
Du, Yi, Qingqing Long, Ziyue Qiao, et al.. (2025). Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies. 4120–4133.
2.
Long, Qingqing, et al.. (2024). MOAT: Graph Prompting for 3D Molecular Graphs. 1586–1596. 1 indexed citations
3.
Wang, Dongjie, et al.. (2024). GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation. 1400–1409. 4 indexed citations
4.
Long, Qingqing, et al.. (2024). Identification of novel biomarkers, shared molecular signatures and immune cell infiltration in heart and kidney failure by transcriptomics. Frontiers in Immunology. 15. 1456083–1456083. 3 indexed citations
5.
Long, Qingqing, Pengfei Wang, Xiao Luo, et al.. (2024). PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment. 487–496. 1 indexed citations
7.
Long, Qingqing, et al.. (2024). Deep Learning for Refined Lithology Identification of Sandstone Microscopic Images. Minerals. 14(3). 275–275. 6 indexed citations
8.
Long, Qingqing, et al.. (2024). Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework. Briefings in Bioinformatics. 25(5). 3 indexed citations
10.
Fang, Yuan, et al.. (2017). Intraocular pressure 1 year after vitrectomy in eyes without a history of glaucoma or ocular hypertension. Clinical ophthalmology. Volume 11. 2091–2097. 22 indexed citations
11.
Zhang, Zhen, Wei Gao, Qingqing Long, et al.. (2017). Increased plasma levels of lncRNA H19 and LIPCAR are associated with increased risk of coronary artery disease in a Chinese population. Scientific Reports. 7(1). 7491–7491. 159 indexed citations
12.
Long, Qingqing, Hao Wang, Wei Gao, et al.. (2017). Long Noncoding RNA Kcna2 Antisense RNA Contributes to Ventricular Arrhythmias via Silencing Kcna2 in Rats With Congestive Heart Failure. Journal of the American Heart Association. 6(12). 33 indexed citations
14.
Zhao, Shan, Zhen Zhang, Qingqing Long, et al.. (2016). Association between Time of Day of Sports-Related Physical Activity and the Onset of Acute Myocardial Infarction in a Chinese Population. PLoS ONE. 11(1). e0146472–e0146472. 18 indexed citations
15.
Long, Qingqing, et al.. (2016). [Relationship between sleep architecture and blood pressure dynamic change in patients with sleep apnea syndrome].. PubMed. 96(28). 2220–3. 5 indexed citations
16.
Chen, Yu, et al.. (2015). Efficacy of equilibrium radionuclide angiography to predict acute response to cardiac resynchronization therapy in patients with heart failure. Nuclear Medicine Communications. 36(6). 610–618. 2 indexed citations
17.
Yang, Yang, Qiming Wang, Qingqing Long, et al.. (2015). Alcohol consumption and risk of coronary artery disease: A dose-response meta-analysis of prospective studies. Nutrition. 32(6). 637–644. 29 indexed citations
18.
Long, Qingqing & Yuan Fang. (2012). The epidemiology of pediatric glaucoma. 36(6). 407–410.
19.
Long, Qingqing & Wenyi Guo. (2012). [Applications of optical coherence tomography in glaucoma].. PubMed. 48(12). 1146–9.

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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