Bin Xia

626 citations
19 papers · 528 · h-index 9

Impact in

Papers in

Bin Xia

17 papers receiving 520 citations

Peers

Bin Xia
Comparison fields: 5 of 29
  • Mechanics of Materials 395
  • Mechanical Engineering 359
  • Civil and Structural Engineering 141
  • Computational Mechanics 118
  • Control and Systems Engineering 104
Replace M. Ghassabi with:
M. Ghassabi Iran
Shuai Yang China
Junling Fan China
Lucjan Witek Poland
Francesco Nicassio Italy
Xiaohui Luo China
Christopher L. Davis United States
Arnaldo Casalotti Italy
Dasheng Wei China
Bin Xia relative to M. Ghassabi Iran M. Ghassabi's profile →
Citations per field
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M. Ghassabi · 1×
Citations per year

Countries citing papers authored by Bin Xia

Since Specialization
Citations

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

Fields of papers citing papers by Bin Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bin Xia Line = papers co-authored together Bin Xia links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2014107
2 201999
3 201997
4 201166
5 201765
6 202022
7 202114
8 201814
9 201811
10 20168
11 20178
12 20224
13 20134
14 20184
15 20173
16 20211
17 20171
18
An Approximately Duplicate Records Detection Method for Electric Power Big Data Based on Spark and IPOP-Simhash.
20180
19 20240

About Bin Xia

Bin Xia is a scholar working on Mechanics of Materials, Mechanical Engineering, Civil and Structural Engineering, Aerospace Engineering and Electrical and Electronic Engineering, having authored 19 papers that have together received 528 indexed citations. Recurring topics across this work include Cavitation Phenomena in Pumps (13 papers), Hydraulic and Pneumatic Systems (12 papers), Water Systems and Optimization (4 papers), Turbomachinery Performance and Optimization (3 papers), Oil and Gas Production Techniques (2 papers), Electric Motor Design and Analysis (2 papers), Fluid Dynamics Simulations and Interactions (2 papers) and Electric and Hybrid Vehicle Technologies (2 papers). The work is most often cited by research in Mechanics of Materials (395 citations), Mechanical Engineering (359 citations), Civil and Structural Engineering (141 citations), Computational Mechanics (118 citations) and Control and Systems Engineering (104 citations). Bin Xia has collaborated with scholars based in China. Frequent co-authors include Ning Zhang, Bo Gao, Fanyu Kong, Sunsheng Yang, Houlin Liu, Xiaojun Wang, Jian Shen, Chuan Wang, Yu Wang and Weizhong Fei. Their work appears in journals such as Renewable Energy, International Journal of Heat and Fluid Flow, IEEE Transactions on Industry Applications, Sustainable Energy Technologies and Assessments and Journal of Hydrodynamics.

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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