Xiangfei Jia

1.6k citations
17 papers · 650 indexed · h-index 9
Topics
Alzheimer's disease research and treatments (4 papers)Dementia and Cognitive Impairment Research (4 papers)Web Data Mining and Analysis (3 papers)

In The Last Decade

Xiangfei Jia

15 papers receiving 641 citations

Peers

Xiangfei Jia
Comparison fields: 5 of 104
  • Psychiatry and Mental health 250
  • Cognitive Neuroscience 114
  • Physiology 105
  • Neurology 80
  • Radiology, Nuclear Medicine and Imaging 65
Replace Camilla Ferrari with:
Camilla Ferrari Italy
Xiumei Zuo China
Ronald C. Petersen United States
Shengliang Shi China
Hae Ri Na South Korea
Laurence Hugonot-Diener France
Haiqun Xie China
Jacqueline C. Dominguez Philippines
Hyun Jeong Han South Korea
Gautam Sajeev United States
Xiangfei Jia relative to Camilla Ferrari Italy Camilla Ferrari's profile →
Citations per field
00.5×4.3×
Camilla Ferrari · 1×
Citations per year

Countries citing papers authored by Xiangfei Jia

Since Specialization
Citations

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

Fields of papers citing papers by Xiangfei Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangfei Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangfei Jia. A scholar is included among the top collaborators of Xiangfei Jia 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 Xiangfei Jia. Xiangfei Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 25
6 3
7
Towards an Efficient and Effective Search Engine
30
8 17
9 12
10 11
11 37
12 76
13 21
14 401
15
Fast and effective focused retrieval
3
16 7
17 3

About Xiangfei Jia

Xiangfei Jia is a scholar working on Psychiatry and Mental health, Neurology and Electrochemistry, having authored 17 papers that have together received 650 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Psychiatry and Mental health (250 citations), Geriatrics and Gerontology (50 citations) and Neurology (80 citations). Xiangfei Jia has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Jianping Jia, Fang Li, Aihong Zhou, Dan Li, Xiumei Zuo, Fen Wang, Haiqing Song, Andrew Trotman, Wei Qin and Matt Crane. Their work appears in journals such as The Journal of Physical Chemistry C, Journal of Alzheimer s Disease and Neuroscience Letters.

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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