Lian Wu

49 total papers · 918 total citations
29 papers, 660 citations indexed

About

Lian Wu is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Lian Wu has authored 29 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Lian Wu's work include Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Video Surveillance and Tracking Methods (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Lian Wu is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Video Surveillance and Tracking Methods (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Lian Wu collaborates with scholars based in China, New Zealand and Taiwan. Lian Wu's co-authors include F. Lefebvre, Jean‐Marie Basset, Xiaoling Wang, Xianliang Fu, Peter Black, Yong Xu, Edwin A. Mitchell, Susan L. Prescott, Thorsten Stanley and Kristin Wickens and has published in prestigious journals such as Journal of Catalysis, Molecules and Sensors.

In The Last Decade

Lian Wu

28 papers receiving 635 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lian Wu	121	106	102	89	87	29	660
Wenting Fan	43 0.4×	173 1.6×	187 1.8×	20 0.2×	14 0.2×	39	575
Dehui Liu	14 0.1×	57 0.5×	155 1.5×	85 1.0×	43 0.5×	69	745
Haohao Li	64 0.5×	64 0.6×	183 1.8×	38 0.4×	28 0.3×	59	634
Hyun Woo Park	19 0.2×	96 0.9×	128 1.3×	34 0.4×	13 0.1×	55	746
Kun Xie	93 0.8×	13 0.1×	147 1.4×	126 1.4×	11 0.1×	57	711
Zhou Sun	54 0.4×	157 1.5×	80 0.8×	40 0.4×	12 0.1×	67	625
Amit K. Dinda	64 0.5×	50 0.5×	200 2.0×	61 0.7×	6 0.1×	38	765
Richard Dybowski	35 0.3×	52 0.5×	122 1.2×	35 0.4×	27 0.3×	29	747
Dorota Ochońska	21 0.2×	28 0.3×	129 1.3×	134 1.5×	29 0.3×	31	557
Yoko Wong	52 0.4×	7 0.1×	79 0.8×	29 0.3×	10 0.1×	51	672

Countries citing papers authored by Lian Wu

Since Specialization

Citations

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

Fields of papers citing papers by Lian Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lian Wu

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

All Works

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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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