Lianying Wu

1.3k citations
59 papers · 967 indexed · h-index 16
Topics
Membrane Separation Technologies (21 papers)Membrane Separation and Gas Transport (11 papers)Chemical and Physical Properties in Aqueous Solutions (9 papers)
Partner nations
ChinaTaiwanPakistan

In The Last Decade

Lianying Wu

53 papers receiving 947 citations

Peers

Lianying Wu
Comparison fields: 5 of 100
  • Water Science and Technology 421
  • Biomedical Engineering 415
  • Mechanical Engineering 200
  • Renewable Energy, Sustainability and the Environment 198
  • Electrical and Electronic Engineering 176
Replace Yangdong Hu with:
Yangdong Hu China
Hisham S. Bamufleh Saudi Arabia
Andrej Pohar Slovenia
M.H. Hamedi Iran
K. T. Chuang Canada
Kun Hong China
Matthäus Siebenhofer Austria
Shiming Xu China
Shan Jing China
Pierrette Guichardon France
Lianying Wu relative to Yangdong Hu China Yangdong Hu's profile →
Citations per field
00.5×1.5×1.9×
Yangdong Hu · 1×
Citations per year

Countries citing papers authored by Lianying Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lianying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianying Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Lianying Wu. A scholar is included among the top collaborators of Lianying 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 Lianying Wu. Lianying Wu 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
#WorkIndexed citations
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2 4
3 1
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5 0
6 0
7 0
8 0
9 16
10 14
11 19
12 1
13 0
14 17
15 8
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Study on characteristics and formation of aroma components in green tea based on HS-SPME/GC-MS method
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18 18
19
Simulation analysis of phosgenation of TDI in distillation column with uncertain kinetics
1
20
A Genetic Algorithm-based Approach to Scheduling of Batch Production with Maximum Profit
4

About Lianying Wu

Lianying Wu is a scholar working on Filtration and Separation, Water Science and Technology and Fluid Flow and Transfer Processes, having authored 59 papers that have together received 967 indexed citations. Recurring topics across this work include Membrane Separation Technologies (21 papers), Membrane Separation and Gas Transport (11 papers) and Chemical and Physical Properties in Aqueous Solutions (9 papers). The work is most often cited by research in Water Science and Technology (421 citations), Filtration and Separation (59 citations) and Renewable Energy, Sustainability and the Environment (198 citations). Lianying Wu has collaborated with scholars based in China, Taiwan and Pakistan. Frequent co-authors include Yangdong Hu, Yan Wang, Qingzhi Liu, Yanyue Lu, Xiuling Zhang, Xia Chen, Congjie Gao, Xianzhen Xu, Luchen Wang and Meng Wang. Their work appears in journals such as Langmuir, Chemical Engineering Journal and International Journal of Molecular Sciences.

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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