Xiaohui Qu

3.2k citations
65 papers · 2.6k indexed · 1 hit paper · h-index 23
Topics
Advanced Battery Materials and Technologies (14 papers)Machine Learning in Materials Science (13 papers)Advancements in Battery Materials (12 papers)

In The Last Decade

Xiaohui Qu

61 papers receiving 2.6k citations

Hit Papers

FireWorks: a dynamic workflow system designed for high‐th...20152026201820222015100200300

Peers

Xiaohui Qu
Comparison fields: 5 of 104
  • Electrical and Electronic Engineering 1.4k
  • Materials Chemistry 933
  • Automotive Engineering 337
  • Atmospheric Science 247
  • Electronic, Optical and Magnetic Materials 207
Replace Junwei Lucas Bao with:
Junwei Lucas Bao United States
Carlos Amador‐Bedolla Mexico
John Rumble United States
Yanli Liu China
Chiwoo Park United States
Tanjin He United States
Rong Qian China
Jing‐yao Liu China
Kourosh Malek Canada
Xiaohui Qu relative to Junwei Lucas Bao United States Junwei Lucas Bao's profile →
Citations per field
00.5×1.6×
Junwei Lucas Bao · 1×
Citations per year

Countries citing papers authored by Xiaohui Qu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohui Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Qu. A scholar is included among the top collaborators of Xiaohui Qu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaohui Qu. Xiaohui Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 6
5 16
6 0
7 1
8 1
9 19
10 6
11 8
12 6
13 12
14 77
15 10
16 33
17
FireWorks: a dynamic workflow system designed for high‐throughput applicationsbreakdown →
393
18 129
19 57
20 6

About Xiaohui Qu

Xiaohui Qu is a scholar working on Structural Biology, Materials Chemistry and Atmospheric Science, having authored 65 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (14 papers), Machine Learning in Materials Science (13 papers) and Advancements in Battery Materials (12 papers). The work is most often cited by research in Automotive Engineering (337 citations), Catalysis (189 citations) and Electrical and Electronic Engineering (1.4k citations). Xiaohui Qu has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Kristin A. Persson, Nav Nidhi Rajput, Anubhav Jain, Shyue Ping Ong, Qingzhu Zhang, Larry A. Curtiss, Lei Cheng, Wenxing Wang, Miriam Brafman and Xiangyan Shi. Their work appears in journals such as Advanced Materials, Nature Communications and The Journal of Chemical Physics.

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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