Yaoming Bian

577 total citations · 1 hit paper
8 papers, 374 citations indexed

About

Yaoming Bian is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yaoming Bian has authored 8 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Acoustics and Ultrasonics, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yaoming Bian's work include Random lasers and scattering media (5 papers), Advanced Optical Sensing Technologies (3 papers) and Advanced X-ray Imaging Techniques (2 papers). Yaoming Bian is often cited by papers focused on Random lasers and scattering media (5 papers), Advanced Optical Sensing Technologies (3 papers) and Advanced X-ray Imaging Techniques (2 papers). Yaoming Bian collaborates with scholars based in China, Germany and United States. Yaoming Bian's co-authors include Guohai Situ, Fei Wang, Meng Lyu, Haichao Wang, Giancarlo Pedrini, George Barbastathis, Wolfgang Osten, Haishan Liu, Fei Wang and Xianzheng Ma and has published in prestigious journals such as Scientific Reports, Optics Express and Light Science & Applications.

In The Last Decade

Yaoming Bian

8 papers receiving 326 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.

Phase imaging with an untrained neural network

2020 310 citations Fei Wang, Yaoming Bian et al. Light Science & Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaoming Bian China	6	174	146	102	99	92	8	374
Jiazhen Dou China	9	247 1.4×	155 1.1×	78 0.8×	34 0.3×	120 1.3×	36	400
Liming Chen China	6	194 1.1×	92 0.6×	48 0.5×	349 3.5×	160 1.7×	25	449
YoonSeok Baek South Korea	7	262 1.5×	131 0.9×	120 1.2×	35 0.4×	84 0.9×	14	316
Alok Kumar Singh Germany	9	330 1.9×	113 0.8×	47 0.5×	231 2.3×	251 2.7×	14	492
Morteza H. Shoreh Iran	7	256 1.5×	98 0.7×	109 1.1×	43 0.4×	40 0.4×	13	474
Daming Zhu China	6	164 0.9×	75 0.5×	50 0.5×	296 3.0×	147 1.6×	10	359
Ronghua Lu China	6	179 1.0×	79 0.5×	39 0.4×	303 3.1×	147 1.6×	22	387
Paul S. Idell United States	10	154 0.9×	112 0.8×	76 0.7×	55 0.6×	27 0.3×	31	290
Samuel Pinilla Colombia	11	91 0.5×	109 0.7×	98 1.0×	17 0.2×	68 0.7×	35	315
Yuval Kashter Israel	8	380 2.2×	188 1.3×	65 0.6×	59 0.6×	240 2.6×	14	455

Countries citing papers authored by Yaoming Bian

Since Specialization

Citations

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

Fields of papers citing papers by Yaoming Bian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoming Bian

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

All Works

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8 of 8 papers shown

1.

Wang, Fei, et al.. (2025). Dynamic quantitative phase imaging using deep spatial-temporal prior. Optics Express. 33(4). 7482–7482. 2 indexed citations

2.

Liu, Haishan, et al.. (2024). Learning-based real-time imaging through dynamic scattering media. Light Science & Applications. 13(1). 194–194. 29 indexed citations

3.

Bian, Yaoming, et al.. (2024). Passive imaging through inhomogeneous scattering media. Scientific Reports. 14(1). 15857–15857. 1 indexed citations

4.

Wang, Fei, et al.. (2024). Adaptive imaging through dense dynamic scattering media using transfer learning. Optics Express. 32(8). 13688–13688. 5 indexed citations

5.

Bian, Yaoming, et al.. (2023). Passive imaging through dense scattering media. Photonics Research. 12(1). 134–134. 14 indexed citations

6.

Li, Guowei, et al.. (2021). Single-shot three-dimensional imaging with a scattering layer [Invited]. Applied Optics. 60(10). B32–B32. 5 indexed citations

7.

Wang, Fei, Yaoming Bian, Haichao Wang, et al.. (2020). Phase imaging with an untrained neural network. Light Science & Applications. 9(1). 77–77. 310 indexed citations breakdown →

8.

Wang, Fei, et al.. (2020). Applications of Deep Learning in Computational Imaging. Acta Optica Sinica. 40(1). 111002–111002. 8 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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