Yancong Wei

1.3k total citations · 2 hit papers
12 papers, 1.0k citations indexed

About

Yancong Wei is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Yancong Wei has authored 12 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 4 papers in Aerospace Engineering. Recurrent topics in Yancong Wei's work include Advanced Image Fusion Techniques (7 papers), Image and Signal Denoising Methods (3 papers) and Advanced Image Processing Techniques (3 papers). Yancong Wei is often cited by papers focused on Advanced Image Fusion Techniques (7 papers), Image and Signal Denoising Methods (3 papers) and Advanced Image Processing Techniques (3 papers). Yancong Wei collaborates with scholars based in China, Hong Kong and Spain. Yancong Wei's co-authors include Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang, Xiangchao Meng, Liangpei Zhang, Menghui Jiang, Jie Li, Zhiwei Li, Qing Cheng and Meng Qing and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Materials & Design.

In The Last Decade

Yancong Wei

9 papers receiving 1.0k 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.

A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening

2018 483 citations Qiangqiang Yuan, Yancong Wei et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →
Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network

2017 390 citations Yancong Wei, Qiangqiang Yuan et al. IEEE Geoscience and Remote Sensing Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yancong Wei China	7	917	736	125	76	45	12	1.0k
Frosti Pálsson Iceland	13	1.0k 1.1×	748 1.0×	113 0.9×	83 1.1×	59 1.3×	24	1.2k
Randi Fu China	12	477 0.5×	475 0.6×	45 0.4×	54 0.7×	26 0.6×	37	678
Claas Grohnfeldt Germany	6	726 0.8×	519 0.7×	41 0.3×	95 1.3×	65 1.4×	18	857
Laëtitia Loncan France	2	573 0.6×	424 0.6×	45 0.4×	41 0.5×	38 0.8×	3	631
Miguel Simões Portugal	6	1.4k 1.5×	1.1k 1.5×	102 0.8×	65 0.9×	79 1.8×	9	1.5k
Xiangyu Liu China	6	527 0.6×	444 0.6×	51 0.4×	32 0.4×	35 0.8×	11	648
Sen Lei China	13	663 0.7×	697 0.9×	33 0.3×	34 0.4×	40 0.9×	21	873
Todd Wittman United States	6	559 0.6×	411 0.6×	66 0.5×	24 0.3×	36 0.8×	12	643
Hsuen-Chyun Shyu Taiwan	5	682 0.7×	498 0.7×	51 0.4×	57 0.8×	61 1.4×	10	780
Luca Capobianco Italy	7	663 0.7×	481 0.7×	73 0.6×	50 0.7×	44 1.0×	15	700

Countries citing papers authored by Yancong Wei

Since Specialization

Citations

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

Fields of papers citing papers by Yancong Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yancong Wei

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

12 of 12 papers shown

1.

Wei, Yancong, et al.. (2025). Multimodal sensor dataset from vehicle-mounted mobile mapping system for comprehensive urban scenes. Scientific Data. 12(1). 1411–1411.

2.

Yang, Daping, et al.. (2025). Degeneracy‐Resistant LiDAR‐SLAM Algorithm Based on Geometric and Visual Features' Fusion. Journal of Field Robotics. 43(1). 330–352.

3.

Wei, Yancong, et al.. (2025). Diagnosis of array antennas based on near-field data using Faster R-CNN. Materials & Design. 254. 114033–114033.

4.

Wei, Yancong, et al.. (2020). AUTOMATIC EXTRACTION OF ROAD CENTERLINES AND EDGE LINES FROM AERIAL IMAGES VIA CNN-BASED REGRESSION. SHILAP Revista de lepidopterología. V-2-2020. 925–932. 1 indexed citations

5.

Shen, Huanfeng, Menghui Jiang, Jie Li, et al.. (2019). Spatial–Spectral Fusion by Combining Deep Learning and Variational Model. IEEE Transactions on Geoscience and Remote Sensing. 57(8). 6169–6181. 71 indexed citations

6.

Li, Zhiwei, Huanfeng Shen, Yancong Wei, Qing Cheng, & Qiangqiang Yuan. (2018). CLOUD DETECTION BY FUSING MULTI-SCALE CONVOLUTIONAL FEATURES. SHILAP Revista de lepidopterología. IV-3. 149–152. 21 indexed citations

7.

Yuan, Qiangqiang, Yancong Wei, Xiangchao Meng, Huanfeng Shen, & Liangpei Zhang. (2018). A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(3). 978–989. 483 indexed citations breakdown →

8.

Wei, Yancong, Qiangqiang Yuan, Huanfeng Shen, & Liangpei Zhang. (2017). Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network. IEEE Geoscience and Remote Sensing Letters. 14(10). 1795–1799. 390 indexed citations breakdown →

9.

Wei, Yancong & Qiangqiang Yuan. (2017). Deep residual learning for remote sensed imagery pansharpening. 1–4. 29 indexed citations

10.

Wei, Yancong, Qiangqiang Yuan, Xiangchao Meng, et al.. (2017). Multi-scale-and-depth convolutional neural network for remote sensed imagery pan-sharpening. 3413–3416. 11 indexed citations

11.

Wei, Yancong, Qiangqiang Yuan, Huanfeng Shen, & Liangpei Zhang. (2016). A universal remote sensing image quality improvement method with deep learning. 6950–6953. 3 indexed citations

12.

Wei, Yancong, et al.. (2016). Nitrogen-doped functional graphene nanocomposites for capacitive deionization of NaCl aqueous solutions. Journal of Solid State Electrochemistry. 20(8). 2351–2362. 16 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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