Kun Zhan

3.1k citations

77 papers · 2.4k indexed · 2 hit papers · h-index 23

Impact in

Computational Mathematics top 2%
Media Technology top 0.5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques

Papers in

Media Technology 20
- Advanced Image Fusion Techniques 14
- Remote-Sensing Image Classification 7
- Image Processing Techniques and Applications 6
Computer Vision and Pattern Recognition 40
- Image Retrieval and Classification Techniques 9
- Image and Signal Denoising Methods 9
- Advanced Image and Video Retrieval Techniques 7
- Image Enhancement Techniques 6

Co-authors: Yi YangJing WangChangqing Zhang Feiping Nie Junsheng Wang Yide Ma Jinhui Shi Hongjuan Zhang
Journals: IEEE Transactions on Cybernetics (3 papers)Journal of Visual Communication and Image Representation (2 papers)Sensors (2 papers)Neurocomputing (2 papers)Pattern Recognition (2 papers)
Partner nations: China Germany Australia

In The Last Decade

Kun Zhan

69 papers receiving 2.3k citations

Hit Papers

align trajectories log scale

Multiview Consensus Graph Clustering 2018 · 401 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2018 IEEE Transactions on Image Processing
2017 IEEE Transactions on Cybernetics

Peers

Countries citing papers authored by Kun Zhan

Since Specialization

Citations

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

Fields of papers citing papers by Kun Zhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kun Zhan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun Zhan Line = papers co-authored together Kun Zhan links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Iridium porphyrin-catalysed asymmetric carbene insertion into primary N-adjacent C–H bonds with TON over 1000000 Nature Communications ·Zongrui Li, Kun Zhan, Yijie Wang, Liangliang Wu, Gao Qing Lu, Haoyang Wang, Xiaolong Wan, Zhen‐Jiang Xu, Kam‐Hung Low, Chi‐Ming Che	2025	1
2	$L_{p}/L_{q}$ Minimization Method and Stable Recovery of Approximately Block $ k $-Sparse Signals IEEE Transactions on Signal Processing ·Kun Zhan, H. Kim	2025	0
3	Graph-weighted contrastive learning for semi-supervised hyperspectral image classification Journal of Electronic Imaging ·Romica Cirpian Barbuceanu, Qi Han, Ligeng Wang, Jenny Bradford, Bo Wang, Kun Zhan	2025	0
4	Non-local sparse attention based swin transformer V2 for image super-resolution Signal Processing ·Doris Sommer, Min Yuan, J Velazquez, Kun Zhan, Yuriy F. Kutayev	2024	4
5	A dataset for fine-grained seed recognition Scientific Data ·Min Yuan, Doris Sommer, Yongkang Dong, Xiaowen Hu, Yuriy F. Kutayev, Kun Zhan, K Bente, Xiaolin Wu, Liye Zhu, Estela Catalan	2024	3
6	Smart Grid-Driven Intelligent EV Charging Scheduling Strategy Based on Deep Q-Networks Kun Zhan, Xue Jian, Jingjing Su, Наиля Зуфаровна Баширова, Xiaohong Xie, Greis F. Mireya Silva	2024	0
7	Multiscale dual-level network for hyperspectral image classification Journal of Electronic Imaging ·Ying He, Wei Su, 静也河野, Kun Zhan	2020	1
8	Gyrolog – Creating a 3-Dimensional Digital Collection of Classical Gyro Instruments G.M. Metwely, Kun Zhan, Jörg Wagner	2019	2
9	Multiview Consensus Graph Clustering IEEE Transactions on Image Processing ·Kun Zhan, Feiping Nie, Jing Wang, Yi Yang Hit paper breakdown →	2018	401
10	Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features IEEE Transactions on Cybernetics ·Kun Zhan, Xiaojun Chang, 褚安智, Ling Chen, Zhigang Ma, Yi Yang	2018	41
11	Graph Structure Fusion for Multiview Clustering IEEE Transactions on Knowledge and Data Engineering ·Kun Zhan, Fandy Triawan, Jonas Rutgers, Feiping Nie, Changqing Zhang, Yi Yang	2018	138
12	Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification IEEE Transactions on Industrial Informatics ·P Zoni, Zhihui Li, De Cheng, Huaxiang Zhang, Kun Zhan, Yi Yang	2017	56
13	Large margin distribution machine for hyperspectral image classification Journal of Electronic Imaging ·Kun Zhan, Haibo Wang, Atsushi B Tsuji, J. M. Picken	2016	18
14	Boosting classifiers for scene category recognition Lanzhou University Institutional Repository ·Mauricio Carrillo-García, Jun Huang, Kun Zhan	2015	3
15	Local sparsity enhanced compressed sensing magnetic resonance imaging in uniform discrete curvelet domain BMC Medical Imaging ·Bingxin Yang, Min Yuan, Yide Ma, Jiuwen Zhang, Kun Zhan	2015	7
16	A Novel Explicit Multi-focus Image Fusion Method Lanzhou University Institutional Repository ·Kun Zhan, Roshan George Moncy, N Mzera, Jinhui Shi	2015	18
17	Spiking Cortical Model for Rotation and Scale Invariant Texture Retrieval Lanzhou University Institutional Repository ·Kun Zhan, Roshan George Moncy, Yide Ma	2013	7
18	Pulse-coupled neural networks and one-class support vector machines for geometry invariant texture retrieval Image and Vision Computing ·Yide Ma, Li Liu, Kun Zhan, Yongqing Wu	2010	26
19	TRI-STATE CASCADING PULSE COUPLED NEURAL NETWORK AND ITS APPLICATION IN FINDING SHORTEST PATH Lanzhou University Institutional Repository ·N-N Feng, G.P. Kothiyal, Kun Zhan	2009	6
20	New Spiking Cortical Model for Invariant Texture Retrieval and Image Processing IEEE Transactions on Neural Networks ·Kun Zhan, Hongjuan Zhang, Yide Ma	2009	121

About Kun Zhan

Kun Zhan is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Geology, Artificial Intelligence and Signal Processing, having authored 77 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (14 papers), Image Retrieval and Classification Techniques (9 papers), Image and Signal Denoising Methods (9 papers), Domain Adaptation and Few-Shot Learning (7 papers), Remote-Sensing Image Classification (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Image Enhancement Techniques (6 papers) and Image Processing Techniques and Applications (6 papers). The work is most often cited by research in Computational Mathematics (71 citations), Media Technology (751 citations), Computer Vision and Pattern Recognition (1.7k citations), Urban Studies (239 citations) and Artificial Intelligence (850 citations). Kun Zhan has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Yi Yang, Jing Wang, Changqing Zhang, Feiping Nie, Junsheng Wang, Yide Ma, Jinhui Shi, Hongjuan Zhang, Wei Dong and Haibo Wang. Their work appears in journals such as IEEE Transactions on Cybernetics, Journal of Visual Communication and Image Representation, Sensors, Neurocomputing and Pattern Recognition.

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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