Long Bao

1.8k total citations · 2 hit papers
23 papers, 1.5k citations indexed

About

Long Bao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Long Bao has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Long Bao's work include Image Enhancement Techniques (9 papers), Chaos-based Image/Signal Encryption (8 papers) and Advanced Image Fusion Techniques (7 papers). Long Bao is often cited by papers focused on Image Enhancement Techniques (9 papers), Chaos-based Image/Signal Encryption (8 papers) and Advanced Image Fusion Techniques (7 papers). Long Bao collaborates with scholars based in United States, Macao and China. Long Bao's co-authors include Yicong Zhou, C. L. Philip Chen, Karen Panetta, Sos С. Agaian, Yue Wu, Shuang Yi, Hongli Liu, Zengli Yang, Dongwoon Bai and Jungwon Lee and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Information Sciences.

In The Last Decade

Long Bao

23 papers receiving 1.4k 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.

A new 1D chaotic system for image encryption

2013 713 citations Yicong Zhou, Long Bao et al. Signal Processing profile →
Image encryption using a new parametric switching chaotic system

2013 231 citations Yicong Zhou, Long Bao et al. Signal Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Long Bao United States	11	1.4k	345	295	237	226	23	1.5k
Lvchen Cao China	18	960 0.7×	173 0.5×	238 0.8×	163 0.7×	92 0.4×	40	1.1k
Chong Fu China	18	1.3k 1.0×	320 0.9×	328 1.1×	169 0.7×	344 1.5×	27	1.4k
Suo Gao China	17	1.3k 0.9×	312 0.9×	328 1.1×	352 1.5×	229 1.0×	32	1.5k
Wenying Wen China	24	1.3k 0.9×	193 0.6×	283 1.0×	83 0.4×	143 0.6×	78	1.5k
Xiuli Chai China	17	2.1k 1.5×	526 1.5×	505 1.7×	273 1.2×	275 1.2×	28	2.2k
Heping Wen China	23	1.0k 0.7×	237 0.7×	253 0.9×	205 0.9×	163 0.7×	41	1.2k
Qun Ding China	21	1.0k 0.7×	264 0.8×	362 1.2×	617 2.6×	139 0.6×	191	1.6k
Hongyu Zhao China	12	681 0.5×	150 0.4×	169 0.6×	147 0.6×	140 0.6×	20	758
Yongjin Xian China	13	1.1k 0.8×	241 0.7×	257 0.9×	215 0.9×	193 0.9×	25	1.2k

Countries citing papers authored by Long Bao

Since Specialization

Citations

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

Fields of papers citing papers by Long Bao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Bao

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

1.

Bao, Long, et al.. (2024). Hybrid Cross-View Attention Network for Lightweight Stereo Image Super-Resolution. 6055–6064. 3 indexed citations

2.

Liu, Chang, et al.. (2024). From Synthetic to Real: A Calibration-free Pipeline for Few-shot Raw Image Denoising. 1106–1114. 2 indexed citations

3.

Bao, Long, Zengli Yang, Shuangquan Wang, Dongwoon Bai, & Jungwon Lee. (2020). Real Image Denoising Based on Multi-Scale Residual Dense Block and Cascaded U-Net with Block-Connection. 1823–1831. 40 indexed citations

4.

Bao, Long, Karen Panetta, & Sos С. Agaian. (2020). Neural network‐based image quality comparator without collecting the human score for training. IET Image Processing. 14(9). 1787–1793. 1 indexed citations

5.

Panetta, Karen, et al.. (2019). Color Theme--based Aesthetic Enhancement Algorithm to Emulate the Human Perception of Beauty in Photos. ACM Transactions on Multimedia Computing Communications and Applications. 15(2s). 1–17. 6 indexed citations

6.

Panetta, Karen, Long Bao, & Sos С. Agaian. (2019). Fast Hue-Division-Based Selective Color Transfer. IEEE Transactions on Circuits and Systems for Video Technology. 30(9). 2853–2866. 7 indexed citations

7.

Panetta, Karen, Long Bao, & Sos С. Agaian. (2018). A New Unified Impulse Noise Removal Algorithm Using a New Reference Sequence-to-Sequence Similarity Detector. IEEE Access. 6. 37225–37236. 20 indexed citations

8.

Bao, Long, Karen Panetta, & Sos С. Agaian. (2018). Hill climbing-based histogram equalization for camouflage object detection. 280. 15–15. 1 indexed citations

9.

Panetta, Karen, Long Bao, & Sos С. Agaian. (2016). Novel multi-color transfer algorithms and quality measure. IEEE Transactions on Consumer Electronics. 62(3). 292–300. 11 indexed citations

10.

Bao, Long, Karen Panetta, & Sos С. Agaian. (2016). A new color transfer quality measure. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9869. 986904–986904. 3 indexed citations

11.

Panetta, Karen, Long Bao, & Sos С. Agaian. (2016). Sequence-to-Sequence Similarity-Based Filter for Image Denoising. IEEE Sensors Journal. 16(11). 4380–4388. 25 indexed citations

12.

Panetta, Karen, Long Bao, & Sos С. Agaian. (2016). A human visual “no-reference” image quality measure. IEEE Instrumentation & Measurement Magazine. 19(3). 34–38. 10 indexed citations

13.

Bao, Long & Yicong Zhou. (2015). Image encryption: Generating visually meaningful encrypted images. Information Sciences. 324. 197–207. 200 indexed citations

14.

Bao, Long, Karen Panetta, & Sos С. Agaian. (2015). A no reference image quality measure using a distance doubling variance. 1–6. 6 indexed citations

15.

Wu, Yue, Yicong Zhou, & Long Bao. (2014). Discrete Wheel-Switching Chaotic System and Applications. IEEE Transactions on Circuits and Systems I Regular Papers. 61(12). 3469–3477. 63 indexed citations

16.

Bao, Long, Yicong Zhou, & C. L. Philip Chen. (2014). A lossless (2, 8)-chaos-based secret image sharing scheme. 2. 3209–3214. 1 indexed citations

17.

Zhou, Yicong, Long Bao, & C. L. Philip Chen. (2013). A new 1D chaotic system for image encryption. Signal Processing. 97. 172–182. 713 indexed citations breakdown →

18.

Zhou, Yicong, Long Bao, & C. L. Philip Chen. (2013). Image encryption using a new parametric switching chaotic system. Signal Processing. 93(11). 3039–3052. 231 indexed citations breakdown →

19.

Bao, Long, Yicong Zhou, & C. L. Philip Chen. (2013). Image encryption in the wavelet domain. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8755. 875502–875502. 13 indexed citations

20.

Bao, Long, Yicong Zhou, C. L. Philip Chen, & Hongli Liu. (2012). A new chaotic system for image encryption. 69–73. 47 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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