Chenglong Bao

3.2k total citations · 2 hit papers
52 papers, 2.0k citations indexed

About

Chenglong Bao is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Chenglong Bao has authored 52 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 11 papers in Molecular Biology and 11 papers in Computational Mechanics. Recurrent topics in Chenglong Bao's work include Image and Signal Denoising Methods (11 papers), Sparse and Compressive Sensing Techniques (10 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Chenglong Bao is often cited by papers focused on Image and Signal Denoising Methods (11 papers), Sparse and Compressive Sensing Techniques (10 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Chenglong Bao collaborates with scholars based in China, Singapore and Spain. Chenglong Bao's co-authors include Hui Ji, Haibin Ling, Yi Wu, Kaisheng Ma, Linfeng Zhang, Jiebo Song, Jingwei Chen, Zuowei Shen, Yuhui Quan and Jian‐Feng Cai and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Chenglong Bao

46 papers receiving 2.0k 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.

Real time robust L1 tracker using accelerated proximal gradient approach

2012 637 citations Chenglong Bao, Hui Ji et al. profile →
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation

2019 557 citations Linfeng Zhang, Jiebo Song et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chenglong Bao China	18	1.3k	527	269	157	152	52	2.0k
Ruimao Zhang China	19	1.2k 0.9×	533 1.0×	276 1.0×	133 0.8×	108 0.7×	72	2.1k
Jie Song China	23	910 0.7×	621 1.2×	153 0.6×	177 1.1×	157 1.0×	103	2.0k
Yu‐Jin Zhang China	23	1.7k 1.3×	563 1.1×	244 0.9×	113 0.7×	67 0.4×	143	2.6k
Gang Yang China	19	1.1k 0.9×	593 1.1×	83 0.3×	131 0.8×	76 0.5×	79	2.2k
Chunjie Zhang China	26	1.5k 1.1×	678 1.3×	97 0.4×	141 0.9×	99 0.7×	137	2.3k
Yanwen Guo China	22	1.9k 1.5×	703 1.3×	400 1.5×	58 0.4×	101 0.7×	119	2.8k
Zihan Zhou China	16	1.1k 0.9×	198 0.4×	652 2.4×	109 0.7×	118 0.8×	80	1.9k
Yahong Han China	31	2.2k 1.7×	1.3k 2.4×	104 0.4×	81 0.5×	123 0.8×	183	3.3k
Yong Jae Lee United States	26	2.1k 1.6×	589 1.1×	101 0.4×	62 0.4×	142 0.9×	69	2.7k

Countries citing papers authored by Chenglong Bao

Since Specialization

Citations

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

Fields of papers citing papers by Chenglong Bao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglong Bao

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

Wang, Fan, et al.. (2025). Facet-controlled Cu2O-catalyzed nucleic acids-templated click ligation for enzyme-free electrochemical DNA sensing. Sensors and Actuators B Chemical. 443. 138225–138225.

Bao, Chenglong, Fengyu Wu, Fan Wang, et al.. (2025). Nanosized hollow Cu(I)/Cu(II)-metal-organic frameworks for highly efficient catalysis in azide-alkyne cycloaddition and nucleic acid-templated ligation. Journal of Colloid and Interface Science. 703(Pt 1). 139172–139172. 3 indexed citations

Gong, Hanlin, et al.. (2025). Three detection modes with one electrode: A multifunctional electrochemical sensing platform for thrombin, p53 gene, and cholesterol detection. Bioelectrochemistry. 166. 109011–109011. 1 indexed citations

Zhang, Hui, Nieng Yan, Qi Hu, et al.. (2025). CryoPROS: Correcting misalignment caused by preferred orientation using AI-generated auxiliary particles. Nature Communications. 16(1). 4565–4565. 4 indexed citations

Gong, Hanlin, Chenglong Bao, Xuan Luo, Yongsheng Yu, & Weiwei Yang. (2024). Reusable electrochemical sensor for quinine detection via β-cyclodextrin-based indicator displacement assay. Microchemical Journal. 198. 110109–110109. 25 indexed citations

Wang, Fan, Chenglong Bao, Zijie Zhang, et al.. (2024). DNA-Templated Click Ligation Chain Reaction Catalyzed by Heterogeneous Cu₂O for Enzyme-Free Amplification and Ultrasensitive Detection of Nucleic Acids. Analytical Chemistry. 96(24). 10028–10037. 9 indexed citations

Gong, Hanlin, Chenglong Bao, Xin Guo, et al.. (2024). A universal electrochemical sensor for detection of nucleic acids and protein based on host-guest recognition of β-cyclodextrin polymer. Microchemical Journal. 204. 110987–110987. 41 indexed citations

Wang, Fan, et al.. (2024). Enzyme-free fluorescent DNA detection based on nucleic acid-templated click reaction via controllable synthesis of Cu2O as heterogeneous nanocatalyst. Talanta. 280. 126692–126692. 3 indexed citations

Fan, Xiao, Hui Zhang, Lili Ju, et al.. (2024). CryoTRANS: predicting high-resolution maps of rare conformations from self-supervised trajectories in cryo-EM. Communications Biology. 7(1). 1058–1058.

10.

Bao, Chenglong & Fuxiao Liu. (2024). Prediction of CRISPR On-Target Effects via Deep Learning. 9–15. 1 indexed citations

11.

Zhang, Hui, et al.. (2023). A minority of final stacks yields superior amplitude in single-particle cryo-EM. Nature Communications. 14(1). 7822–7822. 16 indexed citations

12.

Bao, Chenglong, et al.. (2022). Adapting the residual dense network for seismic data denoising and upscaling. Geophysics. 87(4). V321–V340. 8 indexed citations

13.

Bao, Chenglong, et al.. (2022). An Adaptive Block Bregman Proximal Gradient Method for Computing Stationary States of Multicomponent Phase-Field Crystal Model. 3(1). 133–171. 2 indexed citations

14.

Li, Jia, et al.. (2020). Zero norm based analysis model for image smoothing and reconstruction. Inverse Problems. 36(11). 115009–115009. 5 indexed citations

15.

Zhang, Linfeng, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, & Chenglong Bao. (2020). Task-Oriented Feature Distillation. Neural Information Processing Systems. 33. 14759–14771. 17 indexed citations

16.

Bao, Chenglong, et al.. (2020). Use of a deep convolutional neural network and beamforming for localisation and diagnosis of industry noise sources. UWA Profiles and Research Repository (UWA). 2 indexed citations

17.

Zhang, Linfeng, et al.. (2019). Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. 3712–3721. 557 indexed citations breakdown →

18.

Bao, Chenglong, et al.. (2018). PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame Regularization. SIAM Journal on Imaging Sciences. 11(2). 1179–1204. 11 indexed citations

19.

Wang, Changqing, Judy Kipping, Chenglong Bao, Hui Ji, & Anqi Qiu. (2016). Cerebellar Functional Parcellation Using Sparse Dictionary Learning Clustering. Frontiers in Neuroscience. 10. 188–188. 20 indexed citations

20.

Bao, Chenglong, Hui Ji, & Zuowei Shen. (2014). Convergence analysis for iterative data-driven tight frame construction scheme. Applied and Computational Harmonic Analysis. 38(3). 510–523. 26 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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