Chen Qiao

1.4k total citations · 1 hit paper
29 papers, 973 citations indexed

About

Chen Qiao is a scholar working on Molecular Biology, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Chen Qiao has authored 29 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Artificial Intelligence and 5 papers in Computer Science Applications. Recurrent topics in Chen Qiao's work include Online Learning and Analytics (5 papers), Single-cell and spatial transcriptomics (4 papers) and Topic Modeling (3 papers). Chen Qiao is often cited by papers focused on Online Learning and Analytics (5 papers), Single-cell and spatial transcriptomics (4 papers) and Topic Modeling (3 papers). Chen Qiao collaborates with scholars based in Hong Kong, China and United States. Chen Qiao's co-authors include Khe Foon Hew, Ying Tang, Xiang Hu, Guangqin Li, Ji Luo, Yang Yang, Tao Ren, Ying Wei, Yingtian Li and Yonghua Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Computers & Education.

In The Last Decade

Chen Qiao

28 papers receiving 955 citations

Hit Papers

align trajectories

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.

What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach

2019 249 citations Khe Foon Hew, Xiang Hu et al. Computers & Education profile →

Peers

Chen Qiao

BE

CSA

AI

CSE

MB

Elizabeth Sklar United Kingdom

Qing Chen China

John W. Branch Colombia

Pijush Kanti Dutta Pramanik India

Robert Nagel United States

Yanqing Wang China

Gerhard Weber Germany

Shahnorbanun Sahran Malaysia

Ananda Maiti Australia

Chih‐Hung Chung United States

Elizabeth Sklar United Kingdom

Chen Qiao

62 ×0.2

BE

135 ×0.7

CSA

417 ×2.6

AI

79 ×0.5

CSE

42 ×0.3

MB

Citations per year, relative to Chen Qiao Chen Qiao (= 1×) peers Elizabeth Sklar

Countries citing papers authored by Chen Qiao

Since Specialization

Citations

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

Fields of papers citing papers by Chen Qiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Qiao. A scholar is included among the top collaborators of Chen Qiao 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 Chen Qiao. Chen Qiao 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

1.

Qiao, Chen, et al.. (2026). Dynamic analysis of the infection process of cucumber powdery mildew based on instance segmentation. Biosystems Engineering. 263. 104395–104395.

2.

Hou, Mengjun, Chen Qiao, Kang Xiao, et al.. (2024). Icariin alleviates diabetic renal interstitial fibrosis aggravation by inhibiting miR-320a-3p targeting BMP6. Journal of Pharmacological Sciences. 154(4). 316–325. 4 indexed citations

3.

Qiao, Chen & Yuanhua Huang. (2024). Reliable imputation of spatial transcriptomes with uncertainty estimation and spatial regularization. Patterns. 5(8). 101021–101021. 2 indexed citations

4.

Wu, Beibei, Tong Zhang, Ning Dai, et al.. (2024). Global research trends in tongue cancer from 2000 to 2022: bibliometric and visualized analysis. Clinical Oral Investigations. 28(2). 130–130. 1 indexed citations

5.

Qiao, Chen, et al.. (2022). UniTVelo: temporally unified RNA velocity reinforces single-cell trajectory inference. Nature Communications. 13(1). 6586–6586. 50 indexed citations

6.

Qiao, Chen, et al.. (2022). MQuad enables clonal substructure discovery using single cell mitochondrial variants. Nature Communications. 13(1). 1205–1205. 21 indexed citations

7.

Qiao, Chen & Yuanhua Huang. (2021). Representation learning of RNA velocity reveals robust cell transitions. Proceedings of the National Academy of Sciences. 118(49). 29 indexed citations

8.

Luo, Ji, et al.. (2021). Using deep belief network to construct the agricultural information system based on Internet of Things. The Journal of Supercomputing. 78(1). 379–405. 158 indexed citations

9.

Lyu, Shilei, et al.. (2021). The accurate recognition system of citrus flowers using YOLOv4-Tiny lightweight neural network and FPGA embedded platform. 2. 89–89. 2 indexed citations

10.

He, Siying, Yifang Huang, Chen Qiao, et al.. (2020). MiR-199a-3p/5p participated in TGF-β and EGF induced EMT by targeting DUSP5/MAP3K11 in pterygium. Journal of Translational Medicine. 18(1). 332–332. 22 indexed citations

11.

Qiao, Chen & Xiao Hu. (2020). A neural knowledge graph evaluator: Combining structural and semantic evidence of knowledge graphs for predicting supportive knowledge in scientific QA. Information Processing & Management. 57(6). 102309–102309. 23 indexed citations

12.

Qiao, Chen, Siying He, Lu Chen, et al.. (2020). Identification of Functional Genes in Pterygium Based on Bioinformatics Analysis. BioMed Research International. 2020(1). 2383516–2383516. 9 indexed citations

13.

Hao, Youjin, et al.. (2020). Systematic Identification of Housekeeping Genes Possibly Used as References in Caenorhabditis elegans by Large-Scale Data Integration. Cells. 9(3). 786–786. 13 indexed citations

14.

Hew, Khe Foon, Xiang Hu, Chen Qiao, & Ying Tang. (2019). What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach. Computers & Education. 145. 103724–103724. 249 indexed citations breakdown →

15.

Li, Yang, et al.. (2019). Deep forest for radar HRRP recognition. The Journal of Engineering. 2019(21). 8018–8021. 4 indexed citations

16.

Qiao, Chen & Xiao Hu. (2019). A joint neural network model for combining heterogeneous user data sources: An example of at‐risk student prediction. Journal of the Association for Information Science and Technology. 71(10). 1192–1204. 7 indexed citations

17.

Qiao, Chen & Xiao Hu. (2018). Text classification for cognitive domains: A case using lexical, syntactic and semantic features. Journal of Information Science. 45(4). 516–528. 6 indexed citations

18.

Zhang, Tingting, et al.. (2017). Identification of Chemical Component in SHEN QU Based on NMR Analysis. 19(2). 183–187. 1 indexed citations

19.

Hu, Xiao, et al.. (2017). New features in Wikiglass, a learning analytic tool for visualizing collaborative work on wikis. The HKU Scholars Hub (University of Hong Kong). 616–617. 2 indexed citations

20.

Wei, Ying, Yonghua Chen, Tao Ren, et al.. (2016). A Novel, Variable Stiffness Robotic Gripper Based on Integrated Soft Actuating and Particle Jamming. Soft Robotics. 3(3). 134–143. 276 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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