Liejun Wang

3.2k citations

172 papers · 2.0k indexed · 2 hit papers · h-index 22

Impact in

Media Technology top 0.5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Computer Vision and Pattern Recognition top 1%
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques

Papers in ⓘ

Computer Vision and Pattern Recognition 108
- Advanced Image and Video Retrieval Techniques 32
- Advanced Neural Network Applications 27
- Video Surveillance and Tracking Methods 21
- Image Retrieval and Classification Techniques 21
Artificial Intelligence 48
- AI in cancer detection 16

Co-authors: Shuli Cheng (17 shared papers)Yongming Li (18 shared papers)Cui Zhang (5 shared papers)Shuli Cheng (24 shared papers)Fan Li (10 shared papers)Haojin Li (3 shared papers)Lijun He (7 shared papers)Shiji Song (7 shared papers)
Journals: Sensors (13 papers)Expert Systems with Applications (10 papers)Scientific Reports (9 papers)IEEE Access (9 papers)Applied Soft Computing (9 papers)
Partner nations: China New Zealand Macao

In The Last Decade

Liejun Wang

153 papers receiving 1.9k citations

Hit Papers

align trajectories log scale

Asymmetric Cross-Attention Hierarchical Network Based on CNN and Transformer for Bitemporal Remote Sensing Images Change Detection 2023 · 96 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.

2023 IEEE Transactions on Geoscience and Remote Sensing
2022 IEEE Transactions on Geoscience and Remote Sensing

Peers

Countries citing papers authored by Liejun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Liejun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Liejun Wang, 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 Liejun Wang Line = papers co-authored together Liejun Wang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	SwinSUNet: Pure Transformer Network for Remote Sensing Image Change Detection IEEE Transactions on Geoscience and Remote Sensing ·Cui Zhang, Liejun Wang, Shuli Cheng, Yongming Li Hit paper breakdown →	2022	311
2	Asymmetric Cross-Attention Hierarchical Network Based on CNN and Transformer for Bitemporal Remote Sensing Images Change Detection IEEE Transactions on Geoscience and Remote Sensing ·Xiaofeng Zhang, Shuli Cheng, Liejun Wang, Haojin Li Hit paper breakdown →	2023	96
3	Kullback–Leibler Divergence Metric Learning IEEE Transactions on Cybernetics ·Shuyi Ji, Zizhao Zhang, Shihui Ying, Liejun Wang, Xibin Zhao, Yue Gao	2020	80
4	Efficient attention based deep fusion CNN for smoke detection in fog environment Neurocomputing ·Lijun He, Xiaoli Gong, Sirou Zhang, Liejun Wang, Fan Li	2021	75
5	FE-YOLOv5: Feature enhancement network based on YOLOv5 for small object detection Journal of Visual Communication and Image Representation ·Min Wang, Wenzhong Yang, Liejun Wang, Danny Chen, Fuyuan Wei, HaiLaTi KeZiErBieKe, Yuanyuan Liao	2023	75
6	Revenue and Energy Efficiency-Driven Delay-Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach IEEE Internet of Things Journal ·Xinyu Huang, Lijun He, Xing Chen, Liejun Wang, Fan Li	2021	62
7	Solving flexible job shop scheduling problems via deep reinforcement learning Expert Systems with Applications ·Erdong Yuan, Liejun Wang, Shuli Cheng, Shiji Song, Wei Fan, Yongming Li	2023	55
8	On OCT Image Classification via Deep Learning IEEE photonics journal ·Depeng Wang, Liejun Wang	2019	55
9	A Novel Wireless Network Intrusion Detection Method Based on Adaptive Synthetic Sampling and an Improved Convolutional Neural Network IEEE Access ·Zhiquan Hu, Liejun Wang, Qi Lei, Yongming Li, Wenzhong Yang	2020	52
10	PCAT-UNet: UNet-like network fused convolution and transformer for retinal vessel segmentation PLoS ONE ·Danny Chen, Wenzhong Yang, Liejun Wang, Sixiang Tan, Jiangzhaung Lin, Wenxiu Bu	2022	52
11	LKASR: Large kernel attention for lightweight image super-resolution Knowledge-Based Systems ·Hao Feng, Liejun Wang, Yongming Li, Anyu Du	2022	49
12	A Selective Video Encryption Scheme Based on Coding Characteristics Symmetry ·Shuli Cheng, Liejun Wang, Naixiang Ao, Qingqing Han	2020	39
13	Solving job shop scheduling problems via deep reinforcement learning Applied Soft Computing ·Erdong Yuan, Shuli Cheng, Liejun Wang, Shiji Song, Fang Wu	2023	37
14	Towards 5G: Joint Optimization of Video Segment Caching, Transcoding and Resource Allocation for Adaptive Video Streaming in a Multi-Access Edge Computing Network IEEE Transactions on Vehicular Technology ·Xinyu Huang, Lijun He, Liejun Wang, Fan Li	2021	35
15	FAC-Net: Feedback Attention Network Based on Context Encoder Network for Skin Lesion Segmentation Sensors ·Yuying Dong, Liejun Wang, Shuli Cheng, Yongming Li	2021	35
16	Multi-scale feature progressive fusion network for remote sensing image change detection Scientific Reports ·Di Lu, Shuli Cheng, Liejun Wang, Shiji Song	2022	32
17	An efficient medical image classification network based on multi-branch CNN, token grouping Transformer and mixer MLP Applied Soft Computing ·Shiwei Liu, Liejun Wang, Wenwen Yue	2024	27
18	Method to Enhance Degraded Image in Dust Environment Journal of Software ·Ting Yan, Liejun Wang, Jiaxing Wang	2014	25
19	STransUNet: A Siamese TransUNet-Based Remote Sensing Image Change Detection Network IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Yuan Jian, Liejun Wang, Shuli Cheng	2022	23
20	HMCNet: Hybrid Efficient Remote Sensing Images Change Detection Network Based on Cross-Axis Attention MLP and CNN IEEE Transactions on Geoscience and Remote Sensing ·Liejun Wang, Haojin Li	2022	23

About Liejun Wang

Liejun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Atmospheric Science and Information Systems, having authored 172 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (32 papers), Advanced Neural Network Applications (27 papers), Remote-Sensing Image Classification (23 papers), Video Surveillance and Tracking Methods (21 papers), Image Retrieval and Classification Techniques (21 papers), Remote Sensing and Land Use (18 papers), Advanced Image Fusion Techniques (18 papers) and AI in cancer detection (16 papers). The work is most often cited by research in Media Technology (542 citations), Computer Vision and Pattern Recognition (843 citations), Atmospheric Science (269 citations), Artificial Intelligence (443 citations) and Industrial and Manufacturing Engineering (124 citations). Liejun Wang has collaborated with scholars based in China, New Zealand and Macao. Frequent co-authors include Shuli Cheng, Yongming Li, Cui Zhang, Shuli Cheng, Fan Li, Haojin Li, Lijun He, Shiji Song, Xinyu Huang and Danny Chen. Their work appears in journals such as Sensors, Expert Systems with Applications, Scientific Reports, IEEE Access and Applied Soft Computing.

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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