Jing Wan

605 citations
17 papers · 437 · h-index 10

Impact in

Papers in

    • Hydraulic Fracturing and Reservoir Analysis 9
    • Reservoir Engineering and Simulation Methods 6
    • Oil and Gas Production Techniques 3
    • Drilling and Well Engineering 2

Jing Wan

17 papers receiving 413 citations

Peers

Jing Wan
Comparison fields: 5 of 65
  • Computational Mechanics 168
  • Cardiology and Cardiovascular Medicine 119
  • Ocean Engineering 74
  • Computational Theory and Mathematics 65
  • Numerical Analysis 19
Replace Matteo Astorino with:
Matteo Astorino France
Enzo Marino Italy
Sebastiaan Annerel Belgium
Martina Bukač United States
D.A. Steinman Canada
S. Wright United States
Norsarahaida Amin Malaysia
Josip Tambača Croatia
Matthew Schwaab United States
Emmanuel Leriche France
Jing Wan relative to Matteo Astorino France Matteo Astorino's profile →
Citations per field
00.5×4.1×
Matteo Astorino · 1×
Citations per year

Countries citing papers authored by Jing Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jing Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jing Wan, 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 Jing Wan Line = papers co-authored together Jing Wan links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200394
2 200290
3 200576
4 200751
5 201129
6 200819
7 200713
8 200911
9 202510
10 20099
11 20098
12 19996
13 19986
14 20095
15 20095
16 20004
17 20201

About Jing Wan

Jing Wan is a scholar working on Mechanical Engineering, Ocean Engineering, Computational Mechanics, Surgery and Pathology and Forensic Medicine, having authored 17 papers that have together received 437 indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (9 papers), Reservoir Engineering and Simulation Methods (6 papers), Advanced Numerical Methods in Computational Mathematics (5 papers), Oil and Gas Production Techniques (3 papers), Numerical methods in engineering (2 papers), Drilling and Well Engineering (2 papers), Coronary Interventions and Diagnostics (2 papers) and Seismic Imaging and Inversion Techniques (2 papers). The work is most often cited by research in Computational Mechanics (168 citations), Cardiology and Cardiovascular Medicine (119 citations), Ocean Engineering (74 citations), Computational Theory and Mathematics (65 citations) and Numerical Analysis (19 citations). Jing Wan has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Thomas J.R. Hughes, Charles A. Taylor, Brooke N. Steele, Arif Masud, Joy P. Ku, Yahan Yang, Qian‐Yong Chen, William P. Brown, Hao Huang and Silviu Livescu. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering, Computer Methods in Biomechanics & Biomedical Engineering, Archives of Dermatological Research and IEEE Transactions on Biomedical Engineering.

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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