Yongrui Ma

1.3k total citations · 1 hit paper
8 papers, 752 citations indexed

About

Yongrui Ma is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Yongrui Ma has authored 8 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Atomic and Molecular Physics, and Optics and 2 papers in Artificial Intelligence. Recurrent topics in Yongrui Ma's work include Image Enhancement Techniques (4 papers), Semiconductor Quantum Structures and Devices (3 papers) and Advanced Image Processing Techniques (3 papers). Yongrui Ma is often cited by papers focused on Image Enhancement Techniques (4 papers), Semiconductor Quantum Structures and Devices (3 papers) and Advanced Image Processing Techniques (3 papers). Yongrui Ma collaborates with scholars based in China, Canada and United States. Yongrui Ma's co-authors include Jun Chen, Zhihao Shi, Xiaohong Liu, Wenxiu Sun, Xiangyu Xu, Ming–Hsuan Yang and Xuechao Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Physica B Condensed Matter and Communications in Theoretical Physics.

In The Last Decade

Yongrui Ma

8 papers receiving 726 citations

Hit Papers

align trajectories sort by overperformance

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.

GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing

2019 648 citations Xiaohong Liu, Yongrui Ma et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yongrui Ma China	5	709	354	83	22	20	8	752
Yuda Song China	4	544 0.8×	283 0.8×	57 0.7×	31 1.4×	15 0.8×	6	593
Lerenhan Li China	8	743 1.0×	376 1.1×	57 0.7×	23 1.0×	44 2.2×	10	785
Mingye Ju China	12	713 1.0×	451 1.3×	81 1.0×	29 1.3×	8 0.4×	34	772
Laurent Caraffa France	6	416 0.6×	236 0.7×	32 0.4×	16 0.7×	8 0.4×	12	461
Dana Berman Israel	3	1.4k 2.0×	823 2.3×	150 1.8×	49 2.2×	6 0.3×	3	1.5k
Jiandong Tian China	9	320 0.5×	98 0.3×	26 0.3×	41 1.9×	18 0.9×	39	384
Tiantong Guo United States	9	308 0.4×	175 0.5×	20 0.2×	16 0.7×	36 1.8×	13	367
Weihong Ren China	10	288 0.4×	74 0.2×	18 0.2×	19 0.9×	30 1.5×	38	331
Hao-Hsiang Yang Taiwan	8	276 0.4×	117 0.3×	29 0.3×	13 0.6×	13 0.7×	15	325
Dũng Trung Võ United States	7	418 0.6×	163 0.5×	18 0.2×	18 0.8×	5 0.3×	29	449

Countries citing papers authored by Yongrui Ma

Since Specialization

Citations

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

Fields of papers citing papers by Yongrui Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongrui Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yongrui Ma. A scholar is included among the top collaborators of Yongrui Ma 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 Yongrui Ma. Yongrui Ma 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:

8 of 8 papers shown

1.

Ma, Yongrui, et al.. (2023). Nonlinear optical rectification of GaAs/GaAlAs quantum dot under tangent square potential. Modern Physics Letters B. 37(22). 2 indexed citations

2.

Li, Xuechao, et al.. (2022). The second harmonic generation in GaAs/GaAlAs spherical quantum dots under Woods-Saxon plus attractive inversely quadratic potential. Communications in Theoretical Physics. 74(8). 85702–85702. 4 indexed citations

3.

Li, Xuechao, et al.. (2022). Nonlinear optical rectification of GaAs/AlηGa1−ηAs quantum dots system with Hulthén-Yukawa Potential. Physica B Condensed Matter. 639. 413975–413975. 6 indexed citations

4.

Xu, Xiangyu, Yongrui Ma, & Wenxiu Sun. (2020). Learning Factorized Weight Matrix for Joint Filtering. International Conference on Machine Learning. 10587–10596. 3 indexed citations

5.

Xu, Xiangyu, Yongrui Ma, & Wenxiu Sun. (2020). Learning Factorized Weight Matrix for Joint Image Filtering. International Conference on Machine Learning. 1. 1 indexed citations

6.

Xu, Xiangyu, Yongrui Ma, Wenxiu Sun, & Ming–Hsuan Yang. (2020). Exploiting Raw Images for Real-Scene Super-Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(4). 1–1. 13 indexed citations

7.

Xu, Xiangyu, Yongrui Ma, & Wenxiu Sun. (2019). Towards Real Scene Super-Resolution With Raw Images. 1723–1731. 75 indexed citations

8.

Liu, Xiaohong, Yongrui Ma, Zhihao Shi, & Jun Chen. (2019). GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing. 7313–7322. 648 indexed citations breakdown →

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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