Tie Yan

731 citations
51 papers · 560 · h-index 14

Impact in

    • Drilling and Well Engineering
    • Reservoir Engineering and Simulation Methods
    • Hydraulic Fracturing and Reservoir Analysis
    • Mineral Processing and Grinding

Papers in

    • Drilling and Well Engineering 35
    • Oil and Gas Production Techniques 8
    • Reservoir Engineering and Simulation Methods 5
    • Hydraulic Fracturing and Reservoir Analysis 16

Tie Yan

45 papers receiving 551 citations

Peers

Tie Yan
Comparison fields: 5 of 62
  • Ocean Engineering 382
  • Mechanical Engineering 312
  • Mechanics of Materials 165
  • Civil and Structural Engineering 140
  • Computational Mechanics 80
Replace P. Skalle with:
P. Skalle Norway
Babs Oyeneyin United Kingdom
Jin Yang China
Yinao Su China
Chaojie Zhao China
Somnath Mondal United States
Sheikh Zahidul Islam United Kingdom
Jun Fang China
C.M. Stone United States
Deli Gao China
Tie Yan relative to P. Skalle Norway P. Skalle's profile →
Citations per field
00.5×2×4×6×7.6×
P. Skalle · 1×
Citations per year

Countries citing papers authored by Tie Yan

Since Specialization
Citations

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

Fields of papers citing papers by Tie Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202375
2 201458
3 202041
4 202337
5 201334
6 201130
7 202129
8 202125
9 201924
10 201921
11 202019
12 201418
13 202117
14 201814
15 201913
16 201513
17 202213
18 20188
19 20208
20 20197

About Tie Yan

Tie Yan is a scholar working on Ocean Engineering, Mechanical Engineering, Civil and Structural Engineering, Mechanics of Materials and Computational Mechanics, having authored 51 papers that have together received 560 indexed citations. Recurring topics across this work include Drilling and Well Engineering (35 papers), Hydraulic Fracturing and Reservoir Analysis (16 papers), Tunneling and Rock Mechanics (14 papers), Oil and Gas Production Techniques (8 papers), Advanced Computational Techniques and Applications (6 papers), Reservoir Engineering and Simulation Methods (5 papers), Cyclone Separators and Fluid Dynamics (4 papers) and Fluid Dynamics and Mixing (4 papers). The work is most often cited by research in Ocean Engineering (382 citations), Mechanical Engineering (312 citations), Mechanics of Materials (165 citations), Civil and Structural Engineering (140 citations) and Computational Mechanics (80 citations). Tie Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaofeng Sun, Wei Li, Siqi Li, Kelin Wang, Shuai Shao, Shihui Sun, Jianjun Jiao, Wei Li, Wei Li and Xiaoning Zhang. Their work appears in journals such as Petroleum Science, Energies, Journal of Natural Gas Science and Engineering, Rock Mechanics and Rock Engineering and Powder Technology.

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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