Jianhao Gao

1.8k total citations · 1 hit paper
9 papers, 1.4k citations indexed

About

Jianhao Gao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Environmental Engineering. According to data from OpenAlex, Jianhao Gao has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 2 papers in Environmental Engineering. Recurrent topics in Jianhao Gao's work include Advanced Image Fusion Techniques (6 papers), Image and Signal Denoising Methods (5 papers) and Remote-Sensing Image Classification (5 papers). Jianhao Gao is often cited by papers focused on Advanced Image Fusion Techniques (6 papers), Image and Signal Denoising Methods (5 papers) and Remote-Sensing Image Classification (5 papers). Jianhao Gao collaborates with scholars based in China. Jianhao Gao's co-authors include Qiangqiang Yuan, Yun Jiang, Tongwen Li, Liangpei Zhang, Huanfeng Shen, Hongzhang Xu, Zhiwei Li, Shuwen Li, Qianqian Yang and Jiwen Wang and has published in prestigious journals such as Remote Sensing of Environment, Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Jianhao Gao

9 papers receiving 1.3k 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.

Deep learning in environmental remote sensing: Achievements and challenges

2020 1.2k citations Qiangqiang Yuan, Huanfeng Shen et al. Remote Sensing of Environment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jianhao Gao China	7	471	451	415	347	324	9	1.4k
Hongzhang Xu China	8	354 0.8×	582 1.3×	359 0.9×	356 1.0×	424 1.3×	17	1.5k
Fuan Tsai Taiwan	16	396 0.8×	245 0.5×	502 1.2×	259 0.7×	267 0.8×	76	1.4k
Jiancheng Luo China	23	533 1.1×	533 1.2×	502 1.2×	593 1.7×	409 1.3×	131	1.7k
Mohammad Javad Valadan Zoej Iran	23	709 1.5×	833 1.8×	279 0.7×	255 0.7×	377 1.2×	152	2.2k
Xiaoxue Ma China	15	576 1.2×	391 0.9×	643 1.5×	457 1.3×	343 1.1×	32	1.6k
Yanlan Wu China	20	335 0.7×	645 1.4×	283 0.7×	357 1.0×	340 1.0×	75	1.4k
Dongping Ming China	23	866 1.8×	395 0.9×	429 1.0×	529 1.5×	533 1.6×	101	1.8k
Mahdi Hasanlou Iran	24	620 1.3×	694 1.5×	711 1.7×	654 1.9×	568 1.8×	110	2.1k
Gonzalo Mateo‐García Spain	15	273 0.6×	226 0.5×	392 0.9×	394 1.1×	171 0.5×	31	1.1k
Carl Salvaggio United States	14	659 1.4×	567 1.3×	568 1.4×	347 1.0×	249 0.8×	77	1.7k

Countries citing papers authored by Jianhao Gao

Since Specialization

Citations

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

Fields of papers citing papers by Jianhao Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianhao Gao

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

9 of 9 papers shown

1.

Gao, Jianhao, et al.. (2022). Towards Real-world Shadow Removal with a Shadow Simulation Method and a Two-stage Framework. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 598–607. 5 indexed citations

2.

Gao, Jianhao, Jie Li, Xin Su, Menghui Jiang, & Qiangqiang Yuan. (2022). Deep Image Interpolation: A Unified Unsupervised Framework for Pansharpening. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 608–617. 7 indexed citations

3.

Gao, Jianhao, Jie Li, & Menghui Jiang. (2021). Hyperspectral and Multispectral Image Fusion by Deep Neural Network in a Self-Supervised Manner. Remote Sensing. 13(16). 3226–3226. 11 indexed citations

4.

Gao, Jianhao, Qiangqiang Yuan, Jie Li, & Xin Su. (2021). Unsupervised missing information reconstruction for single remote sensing image with Deep Code Regression. International Journal of Applied Earth Observation and Geoinformation. 105. 102599–102599. 21 indexed citations

5.

Gao, Jianhao, et al.. (2021). Sentinel-2 Cloud Removal Considering Ground Changes by Fusing Multitemporal SAR and Optical Images. Remote Sensing. 13(19). 3998–3998. 16 indexed citations

6.

Gao, Jianhao, Qiangqiang Yuan, Jie Li, Zhang Hai, & Xin Su. (2020). Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks. Remote Sensing. 12(1). 191–191. 129 indexed citations

7.

Yuan, Qiangqiang, Huanfeng Shen, Tongwen Li, et al.. (2020). Deep learning in environmental remote sensing: Achievements and challenges. Remote Sensing of Environment. 241. 111716–111716. 1172 indexed citations breakdown →

8.

Gao, Jianhao, Zhang Hai, & Qiangqiang Yuan. (2019). Cloud removal with fusion of SAR and Optical Images by Deep Learning. 1–3. 6 indexed citations

9.

Xu, Linning, et al.. (2018). Surface Coverage Classification of UAV High Resolution Image Transmission Lines Corridor based on Total Convolution Neural Network. Journal of Physics Conference Series. 1098. 12005–12005. 1 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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