Yi Wan

772 total citations · 1 hit paper
88 papers, 502 citations indexed

About

Yi Wan is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Media Technology. According to data from OpenAlex, Yi Wan has authored 88 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computer Vision and Pattern Recognition, 23 papers in Electrical and Electronic Engineering and 19 papers in Media Technology. Recurrent topics in Yi Wan's work include Image and Signal Denoising Methods (18 papers), Image Enhancement Techniques (18 papers) and Advanced Vision and Imaging (16 papers). Yi Wan is often cited by papers focused on Image and Signal Denoising Methods (18 papers), Image Enhancement Techniques (18 papers) and Advanced Vision and Imaging (16 papers). Yi Wan collaborates with scholars based in China and United States. Yi Wan's co-authors include Qiqiang Chen, Yan Yang, Feifei Qi, Yingmin Li, Lei Yuan, Weina Zhao, Wei Xu, Huaan Li, Juan Sun and Yuxi Luo and has published in prestigious journals such as IEEE Transactions on Image Processing, Electronics Letters and Future Generation Computer Systems.

In The Last Decade

Yi Wan

77 papers receiving 474 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.

ELA: efficient location attention for deep convolution neural networks

2025 19 citations Yi Wan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yi Wan China	11	341	130	81	45	44	88	502
Xiaoping Liu China	13	316 0.9×	68 0.5×	54 0.7×	48 1.1×	41 0.9×	57	492
Zhongxuan Luo China	9	602 1.8×	231 1.8×	56 0.7×	14 0.3×	27 0.6×	23	762
Yuting Yang China	11	207 0.6×	87 0.7×	58 0.7×	29 0.6×	64 1.5×	39	488
Shuo Zhang China	16	913 2.7×	229 1.8×	52 0.6×	40 0.9×	73 1.7×	57	1.1k
Sanghyun Son South Korea	10	630 1.8×	329 2.5×	73 0.9×	26 0.6×	18 0.4×	37	764
Zhengzhong Tu United States	11	565 1.7×	185 1.4×	34 0.4×	44 1.0×	66 1.5×	30	697
Ning Xu China	13	781 2.3×	115 0.9×	94 1.2×	25 0.6×	125 2.8×	58	976
T.E. Boult United States	10	518 1.5×	81 0.6×	56 0.7×	43 1.0×	98 2.2×	19	598
Xinggang Lin China	13	495 1.5×	55 0.4×	44 0.5×	87 1.9×	71 1.6×	79	578

Countries citing papers authored by Yi Wan

Since Specialization

Citations

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

Fields of papers citing papers by Yi Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Wan

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

Wan, Yi, et al.. (2025). Enhancing Small Object Segmentation in RGB-T Semantic Segmentation for Autonomous Driving. 278–281.

2.

Wan, Yi, et al.. (2023). A Kind of Water Surface Multi-Scale Object Detection Method Based on Improved YOLOv5 Network. Mathematics. 11(13). 2936–2936. 4 indexed citations

3.

Qi, Feifei, Yi Wan, & Yingmin Li. (2020). An Improved SIFT Algorithm for Large Tilt Angle Images. 1. 958–962. 1 indexed citations

4.

Zhang, Zhongze, et al.. (2020). Accelerating Automatic License Plate Detection in the Wild. 742–746. 1 indexed citations

5.

Li, Yingmin, Feifei Qi, & Yi Wan. (2019). Improvements On Bicubic Image Interpolation. Lanzhou University Institutional Repository. 1316–1320. 25 indexed citations

6.

Zhang, Zhongze & Yi Wan. (2019). Improving the Accuracy of License Plate Detection and Recognition in General Unconstrained Scenarios. Lanzhou University Institutional Repository. 1194–1199. 2 indexed citations

7.

Wan, Yi, et al.. (2018). A New Camera Calibration Method Based on Two Vertical Lines. Lanzhou University Institutional Repository. 399–402. 2 indexed citations

8.

Li, Zhao & Yi Wan. (2017). An Edge-Guided Exact Histogram Specification Method for Enhancing Extremely Dark Images. Lanzhou University Institutional Repository. 49. 612–616. 2 indexed citations

9.

Yuan, Lei, et al.. (2016). Unequal error control scheme for dimmable visible light communication systems. Optics Communications. 383. 518–524. 1 indexed citations

10.

Wan, Yi, et al.. (2016). A Novel Framework for Optimal RGB to Grayscale Image Conversion. Lanzhou University Institutional Repository. 345–348. 19 indexed citations

11.

Wan, Yi, et al.. (2016). An efficient framework for lossless color image compression. Lanzhou University Institutional Repository. 1. 380–384. 1 indexed citations

12.

Yang, Lei, et al.. (2014). Accurate image noise level estimation by high order polynomial local surface approximation and statistical inference. Lanzhou University Institutional Repository. 362–365. 1 indexed citations

13.

Sun, Juan & Yi Wan. (2014). A novel metric for efficient video shot boundary detection. Lanzhou University Institutional Repository. 45–48. 10 indexed citations

14.

Xu, Zhen, et al.. (2014). An Efficient Shape Recognition Method Using Multiple Description Fusion. Applied Mechanics and Materials. 536-537. 89–94. 1 indexed citations

15.

Wan, Yi, et al.. (2012). Reversible Data Hiding through Adaptive Prediction and Prediction Error Histogram Modification. International Journal of Fuzzy Systems. 14(2). 244–256. 9 indexed citations

16.

Fang, Fang & Yi Wan. (2012). A low-complexity null space-based method for blind CFO and DCO estimator in OFDM systems. Lanzhou University Institutional Repository. 43. 778–781.

17.

Wan, Yi, et al.. (2011). A CPU-GPU hybrid computing framework for real-time clothing animation. Lanzhou University Institutional Repository. 391–396. 9 indexed citations

18.

Wan, Yi. (2010). Fast methods for estimating,detecting and filtering random valued impulse noise level. Journal of Lanzhou University.

19.

Wan, Yi, et al.. (2007). Accelerating the Optimization of Requantization Codebook for Vector Quantization. IEEE Transactions on Image Processing. 16(5). 1281–1288. 3 indexed citations

20.

Wan, Yi, et al.. (2007). Joint Exact Histogram Specification and Image Enhancement Through the Wavelet Transform. IEEE Transactions on Image Processing. 16(9). 2245–2250. 85 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.

Explore authors with similar magnitude of impact