Lifang Wu

2.0k total citations
142 papers, 1.2k citations indexed

About

Lifang Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Lifang Wu has authored 142 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Computer Vision and Pattern Recognition, 35 papers in Artificial Intelligence and 29 papers in Information Systems. Recurrent topics in Lifang Wu's work include Advanced Image and Video Retrieval Techniques (24 papers), Recommender Systems and Techniques (22 papers) and Human Pose and Action Recognition (22 papers). Lifang Wu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (24 papers), Recommender Systems and Techniques (22 papers) and Human Pose and Action Recognition (22 papers). Lifang Wu collaborates with scholars based in China, United States and Australia. Lifang Wu's co-authors include Meng Jian, Ge Shi, Xiuzhen Zhang, Yukun Ma, Chang Wen Chen, Ke Gu, Dong‐Ming Yan, Heng Zhang, Leida Li and Shuai Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Lifang Wu

123 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lifang Wu China	19	656	307	185	167	117	142	1.2k
Shaveta Dargan India	8	406 0.6×	306 1.0×	181 1.0×	148 0.9×	21 0.2×	10	1.2k
Karla Brkić Croatia	13	363 0.6×	460 1.5×	124 0.7×	130 0.8×	24 0.2×	38	1.2k
Maitreyee Dutta India	17	161 0.2×	220 0.7×	117 0.6×	202 1.2×	68 0.6×	102	1.3k
Atif Mehmood China	16	249 0.4×	359 1.2×	63 0.3×	59 0.4×	48 0.4×	64	1.2k
Anwer Mustafa Hilal Saudi Arabia	19	298 0.5×	451 1.5×	163 0.9×	164 1.0×	21 0.2×	150	1.3k
Li Zhao China	24	702 1.1×	349 1.1×	68 0.4×	53 0.3×	61 0.5×	100	1.5k
Debaditya Roy India	15	271 0.4×	258 0.8×	76 0.4×	67 0.4×	67 0.6×	26	711
Tehmina Khalil Pakistan	9	425 0.6×	372 1.2×	89 0.5×	78 0.5×	16 0.1×	13	1.2k
Bandar Alotaibi Saudi Arabia	18	190 0.3×	350 1.1×	176 1.0×	234 1.4×	42 0.4×	51	976
José M. Martínez Spain	19	1.0k 1.6×	247 0.8×	248 1.3×	65 0.4×	41 0.4×	133	1.3k

Countries citing papers authored by Lifang Wu

Since Specialization

Citations

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

Fields of papers citing papers by Lifang Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lifang Wu

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

Li, Zun, et al.. (2025). Dual Consistency Regularization for Generalized Face Anti-Spoofing. IEEE Transactions on Information Forensics and Security. 20. 2171–2183.

Guo, Yang, Lifang Wu, Shenghao Wang, et al.. (2024). Vacuum cleaning of amorphous carbon using hydrogen plasma for EUV lithography. Materials Science and Engineering B. 307. 117545–117545. 5 indexed citations

Jian, Meng, et al.. (2024). Light dual hypergraph convolution for collaborative filtering. Pattern Recognition. 154. 110596–110596. 3 indexed citations

Gu, Ke, et al.. (2024). Multi-scale motion-based relational reasoning for group activity recognition. Engineering Applications of Artificial Intelligence. 139. 109570–109570.

Luo, Kunming, Shuaicheng Liu, Zun Li, et al.. (2024). GLOCAL: A self-supervised learning framework for global and local motion estimation. Pattern Recognition Letters. 178. 91–97. 2 indexed citations

Wu, Lifang, et al.. (2024). Learning Label Semantics for Weakly Supervised Group Activity Recognition. IEEE Transactions on Multimedia. 26. 6386–6397. 5 indexed citations

Li, Zun, et al.. (2024). Knowledge Augmented Relation Inference for Group Activity Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 11644–11656. 1 indexed citations

Wu, Lifang, et al.. (2024). Multi-view and region reasoning semantic enhancement for image-text retrieval. Multimedia Systems. 30(4). 1 indexed citations

Yang, Xiaoying, Min Xiang, Lifang Wu, Ming He, & Hongyan Zhu. (2024). Survival after venoarterial extracorporeal membrane oxygenation for acute high-risk Pulmonary Embolism: A meta-analysis of comparative studies. Pakistan Journal of Medical Sciences. 41(1). 312–317. 2 indexed citations

10.

Shi, Ge, et al.. (2024). A simple yet effective knowledge guided method for entity-aware video captioning on a basketball benchmark. Neurocomputing. 619. 129177–129177. 5 indexed citations

11.

Li, Shuyi, Bob Zhang, Lifang Wu, Ruijun Ma, & Xin Ning. (2024). Robust and Sparse Least Square Regression for Finger Vein and Finger Knuckle Print Recognition. IEEE Transactions on Information Forensics and Security. 19. 2709–2719. 3 indexed citations

12.

Li, Shuyi, Lunke Fei, Bob Zhang, Xin Ning, & Lifang Wu. (2024). Hand-based multimodal biometric fusion: A review. Information Fusion. 109. 102418–102418. 15 indexed citations

13.

Wu, Lifang, et al.. (2024). Research on Parameter Correction of Distribution Network Model Based on CIM Model and Measurement Data. Energies. 17(15). 3611–3611.

14.

Wu, Lifang, et al.. (2023). Photovoltaic Generation Prediction Under Hurricane Conditions Based on a Comprehensive Quantitative Model. 47. 2393–2398. 1 indexed citations

15.

Yang, Wei, Shi Wu, Xichun Xia, et al.. (2023). Deep-learning-based survival prediction of patients with cutaneous malignant melanoma. Frontiers in Medicine. 10. 1165865–1165865. 4 indexed citations

16.

Wu, Lifang, et al.. (2022). Active Spatial Positions Based Hierarchical Relation Inference for Group Activity Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 33(6). 2839–2851. 4 indexed citations

17.

Wu, Lifang, et al.. (2022). Sentiment Interaction Distillation Network for Image Sentiment Analysis. Applied Sciences. 12(7). 3474–3474. 4 indexed citations

18.

Chang, Shi, Lifang Wu, & Ling Li. (2022). LncRNA-MALAT 1 regulates cardiomyocyte scorching in diabetic cardiomyopathy by targeting NLRP3. Cellular and Molecular Biology. 67(6). 213–219. 11 indexed citations

19.

Wang, Guangcheng, Zhongyuan Wang, Ke Gu, et al.. (2019). Blind Quality Metric of DIBR-Synthesized Images in the Discrete Wavelet Transform Domain. IEEE Transactions on Image Processing. 29. 1802–1814. 58 indexed citations

20.

Wu, Lifang, et al.. (2012). A poselet based key frame searching approach in sports training videos. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–4. 3 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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