Lituan Wang

675 total citations
23 papers, 487 citations indexed

About

Lituan Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lituan Wang has authored 23 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lituan Wang's work include AI in cancer detection (7 papers), Advanced Neural Network Applications (5 papers) and Digital Imaging for Blood Diseases (4 papers). Lituan Wang is often cited by papers focused on AI in cancer detection (7 papers), Advanced Neural Network Applications (5 papers) and Digital Imaging for Blood Diseases (4 papers). Lituan Wang collaborates with scholars based in China and Singapore. Lituan Wang's co-authors include Lei Zhang, Yi Zhang, Xiaofeng Qi, Yi Zhang, Yuchen Yuan, Haiying Huang, Zizhou Wang, Yan Wang, Rui Gu and Xin Shu and has published in prestigious journals such as Neuropsychopharmacology, IEEE Transactions on Medical Imaging and Frontiers in Psychology.

In The Last Decade

Lituan Wang

22 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lituan Wang China 10 247 209 197 46 42 23 487
Basil Mustafa Switzerland 5 393 1.6× 346 1.7× 247 1.3× 34 0.7× 31 0.7× 6 810
L. Jani Anbarasi India 13 165 0.7× 208 1.0× 161 0.8× 18 0.4× 32 0.8× 87 493
Md. Nahiduzzaman Bangladesh 20 325 1.3× 277 1.3× 474 2.4× 48 1.0× 142 3.4× 45 1.1k
Rusi Chen China 9 109 0.4× 111 0.5× 84 0.4× 35 0.8× 27 0.6× 61 562
Jianning Chi China 13 293 1.2× 277 1.3× 373 1.9× 16 0.3× 71 1.7× 65 760
Pan Su China 13 178 0.7× 171 0.8× 287 1.5× 16 0.3× 23 0.5× 29 620
Jichen Yang United States 6 107 0.4× 145 0.7× 155 0.8× 14 0.3× 37 0.9× 19 481
Niloy Sikder Bangladesh 11 308 1.2× 209 1.0× 366 1.9× 40 0.9× 39 0.9× 19 709
Mohammed Yusuf Ansari Qatar 13 164 0.7× 178 0.9× 251 1.3× 20 0.4× 62 1.5× 21 696
Jianrui Ding China 14 447 1.8× 292 1.4× 367 1.9× 26 0.6× 101 2.4× 39 736

Countries citing papers authored by Lituan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lituan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lituan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lituan Wang. A scholar is included among the top collaborators of Lituan Wang 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 Lituan Wang. Lituan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Lei, et al.. (2024). Class-Center-Based Self-Knowledge Distillation: A Simple Method to Reduce Intra-Class Variance. Applied Sciences. 14(16). 7022–7022.
2.
Huang, Wei, Lei Zhang, Zizhou Wang, & Lituan Wang. (2024). Exploring Inherent Consistency for Semi-Supervised Anatomical Structure Segmentation in Medical Imaging. IEEE Transactions on Medical Imaging. 43(11). 3731–3741. 7 indexed citations
3.
Zhang, Wenjing, Lituan Wang, Yi Zhang, et al.. (2024). Improved patient identification by incorporating symptom severity in deep learning using neuroanatomic images in first episode schizophrenia. Neuropsychopharmacology. 50(3). 531–539. 1 indexed citations
4.
Wang, Lituan, Lei Zhang, Xin Shu, & Yi Zhang. (2023). Intra-class consistency and inter-class discrimination feature learning for automatic skin lesion classification. Medical Image Analysis. 85. 102746–102746. 29 indexed citations
5.
Zhang, Lei, et al.. (2023). A Unified Search Framework for Data Augmentation and Neural Architecture on Small-Scale Image Data Sets. IEEE Transactions on Cognitive and Developmental Systems. 16(2). 501–510. 6 indexed citations
6.
Shu, Xin, Lei Zhang, Zizhou Wang, Lituan Wang, & Yi Zhang. (2023). Fine-grained recognition: Multi-granularity labels and category similarity matrix. Knowledge-Based Systems. 273. 110599–110599. 7 indexed citations
7.
Zhang, Zhenwei, Lei Zhang, Lituan Wang, Ke Zhong, & Haiying Huang. (2023). LC2R-ViT: Long-Range Cross-Residual Vision Transformer for Medical Image Classification. 30. 445–450. 1 indexed citations
8.
Zhang, Wenjing, Xin Shu, Lituan Wang, et al.. (2023). Construction and evaluation of a gated high-resolution neural network for automatic brain metastasis detection and segmentation. European Radiology. 33(10). 6648–6658. 4 indexed citations
9.
Yuan, Yuchen, Lituan Wang, & Lei Zhang. (2022). Improving vessel connectivity in retinal vessel segmentation via adversarial learning. Knowledge-Based Systems. 262. 110243–110243. 2 indexed citations
10.
Shu, Xin, Lei Zhang, Lituan Wang, et al.. (2022). Deep Slice-Crossed Network With Local Weighted Loss for Brain Metastases Segmentation. IEEE Transactions on Cognitive and Developmental Systems. 15(3). 1419–1429. 2 indexed citations
11.
Wang, Lituan, Lei Zhang, Xiaofeng Qi, & Yi Zhang. (2021). Deep Attention-Based Imbalanced Image Classification. IEEE Transactions on Neural Networks and Learning Systems. 33(8). 3320–3330. 39 indexed citations
12.
Yuan, Yuchen, Lei Zhang, Lituan Wang, & Haiying Huang. (2021). Multi-Level Attention Network for Retinal Vessel Segmentation. IEEE Journal of Biomedical and Health Informatics. 26(1). 312–323. 80 indexed citations
13.
Li, Dong, Lituan Wang, Ting Hu, Lei Zhang, & Qing Lv. (2021). Deep Multiinstance Mammogram Classification With Region Label Assignment Strategy and Metric-Based Optimization. IEEE Transactions on Cognitive and Developmental Systems. 14(4). 1717–1728. 5 indexed citations
14.
Gu, Rui, Lituan Wang, & Lei Zhang. (2021). DE-Net: A deep edge network with boundary information for automatic skin lesion segmentation. Neurocomputing. 468. 71–84. 29 indexed citations
15.
Wang, Lituan, Yangqin Feng, Qiufang Fu, et al.. (2021). A Dual Simple Recurrent Network Model for Chunking and Abstract Processes in Sequence Learning. Frontiers in Psychology. 12. 587405–587405. 2 indexed citations
16.
Wang, Lituan, et al.. (2020). Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks. Medical Image Analysis. 61. 101665–101665. 107 indexed citations
17.
Wang, Lituan, Lei Zhang, Jianyong Wang, & Yi Zhang. (2019). Memory Mechanisms for Discriminative Visual Tracking Algorithms With Deep Neural Networks. IEEE Transactions on Cognitive and Developmental Systems. 12(1). 98–108. 12 indexed citations
18.
Wang, Yan, Lei Zhang, Lituan Wang, & Zizhou Wang. (2018). Multitask Learning for Object Localization With Deep Reinforcement Learning. IEEE Transactions on Cognitive and Developmental Systems. 11(4). 573–580. 43 indexed citations
19.
Deng, Hongli, Lei Zhang, & Lituan Wang. (2018). Sentence representation and classification using attention and additional language information. 679–684. 1 indexed citations
20.
Wang, Lituan, Lei Zhang, & Yi Zhang. (2017). Trajectory Predictor by Using Recurrent Neural Networks in Visual Tracking. IEEE Transactions on Cybernetics. 47(10). 3172–3183. 76 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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