Long Chang

919 citations
42 papers · 805 · h-index 15

Impact in

Papers in

    • Microfluidic and Capillary Electrophoresis Applications 31
    • Microfluidic and Bio-sensing Technologies 27
    • Nanopore and Nanochannel Transport Studies 22
    • Nanofluid Flow and Heat Transfer 7
    • Heat Transfer and Optimization 8
    • Heat Transfer and Boiling Studies 3

Long Chang

36 papers receiving 783 citations

Peers

Long Chang
Comparison fields: 5 of 39
  • Biomedical Engineering 749
  • Fluid Flow and Transfer Processes 52
  • Computational Mechanics 152
  • Mechanical Engineering 269
  • Physical and Theoretical Chemistry 54
Replace J. Arcos with:
J. Arcos Mexico
Rajkumar Sarma India
Srinivas Jangili India
M. Ajithkumar India
N.K. Ranjit India
Nirmal C. Sacheti India
A. Hasibi Iran
Zahid Nisar Pakistan
E. A. Ashmawy Egypt
G. Sucharitha India
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Citations per field
00.5×4.7×
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Citations per year

Countries citing papers authored by Long Chang

Since Specialization
Citations

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

Fields of papers citing papers by Long Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Long Chang, 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 Long Chang Line = papers co-authored together Long Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201488
2 201661
3 201755
4 201249
5 201546
6 201546
7 201345
8 201643
9 201339
10 201138
11 201237
12 201533
13 201626
14 201825
15 201617
16 201514
17 201913
18 201313
19 201713
20 201211

About Long Chang

Long Chang is a scholar working on Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Computational Mechanics and Physical and Theoretical Chemistry, having authored 42 papers that have together received 805 indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (31 papers), Microfluidic and Bio-sensing Technologies (27 papers), Nanopore and Nanochannel Transport Studies (22 papers), Heat Transfer and Optimization (8 papers), Nanofluid Flow and Heat Transfer (7 papers), Heat Transfer and Boiling Studies (3 papers), Electrostatics and Colloid Interactions (3 papers) and Nonlinear Dynamics and Pattern Formation (2 papers). The work is most often cited by research in Biomedical Engineering (749 citations), Fluid Flow and Transfer Processes (52 citations), Computational Mechanics (152 citations), Mechanical Engineering (269 citations) and Physical and Theoretical Chemistry (54 citations). Long Chang has collaborated with scholars based in China and Mongolia. Frequent co-authors include Yongjun Jian, Quansheng Liu, Fengqin Li, Jie Su, Guangpu Zhao, Liangui Yang, Quansheng Liu, Yanjun Sun, Lin Wang and Quansheng Li. Their work appears in journals such as Colloids and Surfaces B Biointerfaces, Journal of Physics D Applied Physics, Physics of Fluids, AIP Advances and Acta Mechanica Sinica.

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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