Ronghua Shang

6.6k total citations · 2 hit papers
200 papers, 4.9k citations indexed

About

Ronghua Shang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Ronghua Shang has authored 200 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Computer Vision and Pattern Recognition, 79 papers in Artificial Intelligence and 65 papers in Media Technology. Recurrent topics in Ronghua Shang's work include Remote-Sensing Image Classification (61 papers), Face and Expression Recognition (33 papers) and Complex Network Analysis Techniques (29 papers). Ronghua Shang is often cited by papers focused on Remote-Sensing Image Classification (61 papers), Face and Expression Recognition (33 papers) and Complex Network Analysis Techniques (29 papers). Ronghua Shang collaborates with scholars based in China, United Kingdom and Montenegro. Ronghua Shang's co-authors include Licheng Jiao, Yangyang Li, Rustam Stolkin, Jie Feng, Weitong Zhang, Xiangrong Zhang, Yanqiao Chen, Peng Cheng, Fang Liu and Wenping Ma and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Antimicrobial Agents and Chemotherapy and Expert Systems with Applications.

In The Last Decade

Ronghua Shang

189 papers receiving 4.8k 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.

Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification

2024 62 citations Jie Feng, Ronghua Shang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
S⁴DL: Shift-Sensitive Spatial–Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation

2025 20 citations Jie Feng, Tianshu Zhang et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ronghua Shang China	42	1.8k	1.8k	1.4k	592	583	200	4.9k
Qiguang Miao China	40	2.4k 1.3×	1.3k 0.7×	1.7k 1.2×	183 0.3×	276 0.5×	246	5.8k
Marcello Pelillo Italy	32	3.3k 1.8×	1.7k 0.9×	1.2k 0.9×	340 0.6×	414 0.7×	157	5.5k
Fang Liu China	38	3.2k 1.7×	1.8k 1.0×	2.4k 1.8×	253 0.4×	172 0.3×	460	7.3k
Chi‐Man Pun Macao	36	4.4k 2.4×	1.2k 0.7×	1.2k 0.9×	318 0.5×	367 0.6×	302	5.7k
Yangyang Li China	30	1.1k 0.6×	1.1k 0.6×	774 0.6×	193 0.3×	209 0.4×	204	3.1k
Yiu‐ming Cheung Hong Kong	43	3.5k 1.9×	2.7k 1.5×	704 0.5×	197 0.3×	555 1.0×	362	6.8k
Yunming Ye China	37	1.3k 0.7×	2.0k 1.1×	916 0.7×	363 0.6×	126 0.2×	179	4.8k
Quan Pan China	50	1.9k 1.0×	3.1k 1.7×	1.1k 0.8×	155 0.3×	583 1.0×	443	7.9k
Zongben Xu China	32	2.5k 1.4×	1.4k 0.8×	1.4k 1.0×	129 0.2×	238 0.4×	117	4.9k
Wenping Ma China	40	2.4k 1.3×	1.4k 0.8×	1.8k 1.3×	81 0.1×	407 0.7×	217	5.6k

Countries citing papers authored by Ronghua Shang

Since Specialization

Citations

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

Fields of papers citing papers by Ronghua Shang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronghua Shang

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

Shang, Ronghua, Mingwei Hu, Lei Liu, et al.. (2025). Knowledge Distillation Based on Adaptive Learning and Channel Amplification Features for PolSAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16.

Shang, Ronghua, et al.. (2025). Hyperspectral image classification based on multi-scale equivariant feature extraction and geometric equivariant self-attention. Expert Systems with Applications. 300. 129909–129909. 1 indexed citations

Zhang, Weitong, et al.. (2025). Few-Shot Hyperspectral Image Classification Based on Prototype Mask Contrast and Cross-Stage Feature Refinement. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18.

Shang, Ronghua, et al.. (2024). An efficient evolutionary architecture search for variational autoencoder with alternating optimization and adaptive crossover. Swarm and Evolutionary Computation. 86. 101520–101520. 4 indexed citations

Zhong, Jingyu, Ronghua Shang, Songhua Xu, & Yangyang Li. (2024). Graph embedding orthogonal decomposition: A synchronous feature selection technique based on collaborative particle swarm optimization. Pattern Recognition. 152. 110453–110453. 13 indexed citations

Li, Yangyang, et al.. (2024). Balanced quantum neural architecture search. Neurocomputing. 594. 127860–127860. 2 indexed citations

Feng, Jie, et al.. (2024). Multi-agent deep reinforcement learning for hyperspectral band selection with hybrid teacher guide. Knowledge-Based Systems. 299. 112044–112044. 4 indexed citations

Zhang, Mengxuan, et al.. (2024). Efficient evolutionary multi-scale spectral-spatial attention fusion network for hyperspectral image classification. Expert Systems with Applications. 262. 125672–125672. 4 indexed citations

Feng, Jie, et al.. (2024). CFDRM: Coarse-to-Fine Dynamic Refinement Model for Weakly Supervised Moving Vehicle Detection in Satellite Videos. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 10 indexed citations

10.

Feng, Jie, Ronghua Shang, Jinjian Wu, et al.. (2024). Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 62 indexed citations breakdown →

11.

Zhu, Songling, Ronghua Shang, Bo Yuan, et al.. (2024). DynamicKD: An effective knowledge distillation via dynamic entropy correction-based distillation for gap optimizing. Pattern Recognition. 153. 110545–110545. 5 indexed citations

12.

Gamba, Paolo, et al.. (2024). A Multitask Framework for Hyperspectral Change Detection and Band Reweighting With Unbalanced Contrastive Learning. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 14 indexed citations

13.

Shang, Ronghua, et al.. (2023). Ellipse IoU Loss: Better Learning for Rotated Bounding Box Regression. IEEE Geoscience and Remote Sensing Letters. 21. 1–5.

14.

Jiao, Licheng, Ronghua Shang, Xu Liu, et al.. (2023). A Patch Diversity Transformer for Domain Generalized Semantic Segmentation. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 14138–14150. 10 indexed citations

15.

Shang, Ronghua, Teng Ma, Weitong Zhang, et al.. (2023). Evolutionary architecture search via adaptive parameter control and gene potential contribution. Swarm and Evolutionary Computation. 82. 101354–101354. 6 indexed citations

16.

Li, Yangyang, et al.. (2020). Anchor-Free Single Stage Detector in Remote Sensing Images Based on Multiscale Dense Path Aggregation Feature Pyramid Network. IEEE Access. 8. 63121–63133. 27 indexed citations

17.

Shang, Ronghua, et al.. (2020). Superpixel Boundary-Based Edge Description Algorithm for SAR Image Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 1972–1985. 19 indexed citations

18.

Feng, Jie, Jiantong Chen, Qigong Sun, et al.. (2020). Convolutional Neural Network Based on Bandwise-Independent Convolution and Hard Thresholding for Hyperspectral Band Selection. IEEE Transactions on Cybernetics. 51(9). 4414–4428. 67 indexed citations

19.

Li, Yangyang, et al.. (2019). A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images. IEEE Transactions on Geoscience and Remote Sensing. 57(8). 5751–5763. 141 indexed citations

20.

Shang, Ronghua, Jiaming Wang, Licheng Jiao, et al.. (2018). SAR Targets Classification Based on Deep Memory Convolution Neural Networks and Transfer Parameters. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(8). 2834–2846. 99 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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