Long Gu

3.9k citations
79 papers · 3.4k · h-index 29

Impact in

Papers in

Long Gu

73 papers receiving 3.3k citations

Peers

Long Gu
Comparison fields: 5 of 88
  • Polymers and Plastics 1.7k
  • Biomedical Engineering 2.7k
  • Electronic, Optical and Magnetic Materials 640
  • Cognitive Neuroscience 485
  • Mechanical Engineering 628
Replace Aurelia Chi Wang with:
Aurelia Chi Wang United States
Xinran Zhou China
Shuyao Li China
Yange Feng China
Litong Guo China
Dongwhi Choi South Korea
Po‐Kang Yang Taiwan
Xiang Shi China
Guofa Cai Singapore
Venkateswaran Vivekananthan South Korea
Long Gu relative to Aurelia Chi Wang United States Aurelia Chi Wang's profile →
Citations per field
00.5×2×3×3.9×
Aurelia Chi Wang · 1×
Citations per year

Countries citing papers authored by Long Gu

Since Specialization
Citations

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

Fields of papers citing papers by Long Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016391
2 2012285
3 2020259
4 2020240
5 2015155
6 2014139
7 2021122
8 2014102
9 2024102
10 201391
11 201289
12 202180
13 201679
14 201868
15 202161
16 201554
17 201952
18 201951
19 202449
20 202147

About Long Gu

Long Gu is a scholar working on Polymers and Plastics, Biomedical Engineering, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 79 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (44 papers), Conducting polymers and applications (32 papers), Electrocatalysts for Energy Conversion (13 papers), Tactile and Sensory Interactions (12 papers), Advanced battery technologies research (10 papers), Dielectric materials and actuators (9 papers), Supercapacitor Materials and Fabrication (8 papers) and Fuel Cells and Related Materials (6 papers). The work is most often cited by research in Polymers and Plastics (1.7k citations), Biomedical Engineering (2.7k citations), Electronic, Optical and Magnetic Materials (640 citations), Cognitive Neuroscience (485 citations) and Mechanical Engineering (628 citations). Long Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yong Qin, Nuanyang Cui, Jinmei Liu, Zhong Lin Wang, Suo Bai, Qi Xu, Yimin Lei, Yue Hao, Li Cheng and Miaomiao Yuan. Their work appears in journals such as Nano Energy, ACS Applied Materials & Interfaces, ACS Applied Electronic Materials, Chemical Engineering Journal and ACS Applied Energy Materials.

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.

Explore authors with similar magnitude of impact