Wanli Liu

898 total citations · 2 hit papers
23 papers, 632 citations indexed

About

Wanli Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Wanli Liu has authored 23 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Aerospace Engineering. Recurrent topics in Wanli Liu's work include AI in cancer detection (6 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Wanli Liu is often cited by papers focused on AI in cancer detection (6 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Wanli Liu collaborates with scholars based in China, Germany and United States. Wanli Liu's co-authors include Hongzan Sun, Marcin Grzegorzek, Chen Li, Haoyuan Chen, Weiming Hu, Md Mamunur Rahaman, Changhao Sun, Xiaoyan Li, Yixin Li and Xiangchen Wu and has published in prestigious journals such as Scientific Reports, Sensors and Pattern Recognition.

In The Last Decade

Wanli Liu

22 papers receiving 617 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.

GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection

2022 177 citations Haoyuan Chen, Chen Li et al. Pattern Recognition profile →
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron

2022 131 citations Wanli Liu, Chen Li et al. Pattern Recognition profile →

Peers

Countries citing papers authored by Wanli Liu

Since Specialization

Citations

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

Fields of papers citing papers by Wanli Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanli Liu

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

#	Work	Indexed citations
1	Research on cigarette moisture anomaly risk identification based on an improved NGBoost algorithm 2024 ·Wenbo Wang, Wanli Liu, Xu Kong, Wei Ding, (unknown), Ming Li, Ming‐Xing Li, Ting Qin, Liming Zhu	0
2	CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer 2023 ·Computers in Biology and Medicine ·(unknown), Xiangchen Wu, Changzhong Li, Haoyuan Chen, Wanli Liu, Yu Zheng, (unknown), Xiaoyan Li, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Chen Li	38
3	Network Intrusion Detection Based on Explainable Artificial Intelligence 2023 ·Wireless Personal Communications ·(unknown), Lei Xu, Wanli Liu, Rongzhen Li, Junjie Gu	13
4	Development and Application of University Financial Personnel Work Platform Based on Data Fusion and Blockchain 2023 ·Wanli Liu, Jianlin Li, (unknown)	1
5	IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach 2022 ·Computers in Biology and Medicine ·Haoyuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek	101
6	A comparative study of gastric histopathology sub-size image classification: From linear regression to visual transformer 2022 ·Frontiers in Medicine ·Weiming Hu, Haoyuan Chen, Wanli Liu, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Chen Li	15
7	Monitoring of large and inconsistent deformation in coal mining area using point-like target offset tracking 2022 ·International Journal of Remote Sensing ·(unknown), Zhengfu Bian, Wanli Liu	2
8	GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection breakdown → 2022 ·Pattern Recognition ·Haoyuan Chen, Chen Li, Ge Wang, Xiaoyan Li, Md Mamunur Rahaman, Hongzan Sun, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Shiliang Ai, Marcin Grzegorzek	177
9	Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers 2021 ·Computers in Biology and Medicine ·Wanli Liu, Chen Li, Md Mamunur Rahaman, Tao Jiang, Hongzan Sun, Xiangchen Wu, Weiming Hu, Haoyuan Chen, Changhao Sun, Yudong Yao, Marcin Grzegorzek	54
10	A Refined Phase Unwrapping Method for High Noisy Dense Fringe Interferogram Based on Adaptive Cubature Kalman Filter 2021 ·Mathematical Problems in Engineering ·Wanli Liu, (unknown), (unknown), (unknown)	1
11	Super resolution DOA estimation based on deep neural network 2020 ·Scientific Reports ·Wanli Liu	34
12	A fuzzy identification method for persistent scatterers in PSInSAR technology 2020 ·Mathematical Biosciences & Engineering ·Wanli Liu, Qiuzhao Zhang, (unknown)	5
13	Factuality Classification Using the Pre-trained Language Representation Model BERT. 2019 ·(unknown), Wanli Liu	5
14	A BERT-based Approach for Automatic Humor Detection and Scoring. 2019 ·(unknown), Wanli Liu	20
15	On the Importance of Multireference Points for CKF Phase Unwrapping in Areas With Discontinuous Quality Maps 2016 ·IEEE Geoscience and Remote Sensing Letters ·Wanli Liu, Zhengfu Bian, (unknown), Zhenguo Liu, Shaogang Lei	2
16	Evaluation of a Cubature Kalman Filtering-Based Phase Unwrapping Method for Differential Interferograms with High Noise in Coal Mining Areas 2015 ·Sensors ·Wanli Liu, Zhengfu Bian, (unknown), (unknown)	14
17	Analysis and Test on Rough Terrain Adaptation Performance of the Rocker-type W-shaped Track Coal Mine Exploring Robot 2013 ·Information Technology Journal ·Yunwang Li, Shirong Ge, Wanli Liu, (unknown)	1
18	Using Aggressor Thread Information to Improve Shared Cache Management for CMPs 2009 ·Wanli Liu, Donald Yeung	10
19	Enhancing LTP-Driven Cache Management Using Reuse Distance Information 2007 ·Digital Repository at the University of Maryland (University of Maryland College Park) ·Wanli Liu, Donald Yeung	2
20	General Bayes Diagnosis Method 2005 ·Shuxue de shijian yu renshi ·Wanli Liu, Jin‐Yan Wang	1

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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