Quan Xia

2.5k citations
73 papers · 1.8k · h-index 24

Impact in

Papers in

Quan Xia

65 papers receiving 1.8k citations

Peers

Quan Xia
Comparison fields: 5 of 157
  • Automotive Engineering 483
  • Complementary and alternative medicine 271
  • Pharmacology 109
  • Molecular Medicine 59
  • Safety, Risk, Reliability and Quality 112
Replace Raj Kumar with:
Raj Kumar India
Xingying Chen China
Jiaxin Cai China
Xiao Wang China
Huixiang Liu China
Peng Xie China
Wei Wu China
Chia-Chou Yeh Taiwan
Chien‐Hsing Lee Taiwan
Quan Xia relative to Raj Kumar India Raj Kumar's profile →
Citations per field
00.5×10×15.1×
Raj Kumar · 1×
Citations per year

Countries citing papers authored by Quan Xia

Since Specialization
Citations

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

Fields of papers citing papers by Quan Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002336
2 201899
3 202379
4 201278
5 202373
6 201265
7 200864
8 200563
9 202062
10 201949
11 202146
12 202245
13 201643
14 202238
15 202037
16 202235
17 202235
18 202231
19 202329
20 201728

About Quan Xia

Quan Xia is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Molecular Biology, Control and Systems Engineering and Safety, Risk, Reliability and Quality, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (19 papers), Advancements in Battery Materials (11 papers), Fault Detection and Control Systems (5 papers), Electric Vehicles and Infrastructure (4 papers), Natural product bioactivities and synthesis (4 papers), Reliability and Maintenance Optimization (4 papers), Advanced Battery Materials and Technologies (4 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Automotive Engineering (483 citations), Complementary and alternative medicine (271 citations), Pharmacology (109 citations), Molecular Medicine (59 citations) and Safety, Risk, Reliability and Quality (112 citations). Quan Xia has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yi Ren, Tina T. X. Dong, Karl Wah Keung Tsim, Dujuan Xu, Jin‐Ao Duan, Qingkai Shi, Qiang Feng, Cheng Qian, Bo Sun and Zili Wang. Their work appears in journals such as Journal of Power Sources, Journal of Thermal Analysis and Calorimetry, Frontiers in Pharmacology, Journal of Energy Storage and Energy.

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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