Jun Long

1.7k citations
32 papers · 1.5k · h-index 20

Impact in

Papers in

Jun Long

30 papers receiving 1.5k citations

Peers

Jun Long
Comparison fields: 5 of 68
  • Surfaces, Coatings and Films 241
  • Water Science and Technology 414
  • Polymers and Plastics 278
  • Mechanical Engineering 566
  • Materials Chemistry 662
Replace Brandon W. Rowe with:
Brandon W. Rowe United States
Stephen C. Hawkins Australia
Annarosa Gugliuzza Italy
Arian Nijmeijer Netherlands
Qiangbin Yang China
Xiaoli Ding China
Yi He China
Shenxiang Zhang China
Fang Wu China
Jiancheng Di China
Jun Long relative to Brandon W. Rowe United States Brandon W. Rowe's profile →
Citations per field
00.5×1.5×2.2×
Brandon W. Rowe · 1×
Citations per year

Countries citing papers authored by Jun Long

Since Specialization
Citations

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

Fields of papers citing papers by Jun Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017138
2 2020127
3 2020126
4 2014123
5 2021116
6 2021112
7 201994
8 202081
9 201581
10 201976
11 202069
12 201458
13 201643
14 202140
15 202132
16 201531
17 201629
18 200922
19 202021
20 201619

About Jun Long

Jun Long is a scholar working on Materials Chemistry, Mechanical Engineering, Biomedical Engineering, Water Science and Technology and Surfaces, Coatings and Films, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Membrane Separation Technologies (7 papers), Surface Modification and Superhydrophobicity (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Membrane Separation and Gas Transport (4 papers), Fiber-reinforced polymer composites (4 papers), Silicone and Siloxane Chemistry (4 papers), Conducting polymers and applications (3 papers) and Dielectric materials and actuators (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (241 citations), Water Science and Technology (414 citations), Polymers and Plastics (278 citations), Mechanical Engineering (566 citations) and Materials Chemistry (662 citations). Jun Long has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Lu Shao, Xiaobin Yang, Feitian Ran, Songwei Li, Xu Jiang, Shanshan He, Yudong Huang, Li Liu, Yanqiu Zhang and Xiquan Cheng. Their work appears in journals such as Journal of Membrane Science, RSC Advances, Applied Surface Science, Journal of Adhesion Science and Technology and Journal of Iron and Steel Research International.

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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