Fang Hua

584 citations
21 papers · 457 indexed · h-index 10

Fang Hua

20 papers receiving 455 citations

Peers

Fang Hua
Comparison fields: 5 of 67
  • Cancer Research 249
  • Signal Processing 46
  • Molecular Biology 263
  • Radiology, Nuclear Medicine and Imaging 76
  • Pathology and Forensic Medicine 57
Replace Asoke K. Talukder with:
Asoke K. Talukder India
John Sharko United States
Takashi Takao Japan
Norio Shinkai Japan
Changli Wu China
Minekatsu Nishida Japan
Chong Deng China
Ksenija Kanjer Serbia
Fee Klupp Germany
Amina Bolatkan Japan
Fang Hua relative to Asoke K. Talukder India Asoke K. Talukder's profile →
Citations per field
00.5×9.6×
Asoke K. Talukder · 1×
Citations per year

Countries citing papers authored by Fang Hua

Since Specialization
Citations

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

Fields of papers citing papers by Fang Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20203
2 202013
3 202019
4 201928
5 201822
6 2018122
7
Species-specific function of microRNA-7702 in human colorectal cancer cells via targeting TADA1.
20189
8 20178
9 201741
10 20144
11 20144
12 20141
13 20132
14 20130
15 201321
16 20133
17
Improving patients' electronic health record comprehension with NoteAid.
201333
18 201298
19 201211
20 20118

About Fang Hua

Fang Hua is a scholar working on Signal Processing, Cancer Research and Safety Research, having authored 21 papers that have together received 457 indexed citations. Recurring topics across this work include Biometric Identification and Security (9 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (3 papers), Forensic Fingerprint Detection Methods (3 papers), Circular RNAs in diseases (3 papers), DNA and Biological Computing (2 papers) and Image and Object Detection Techniques (2 papers). The work is most often cited by research in Cancer Research (249 citations), Signal Processing (46 citations) and Molecular Biology (263 citations). Fang Hua has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Jing Du, Qiang Liu, Jian Zhu, Stephanie Schuckers, Peter A. Johnson, Jaroslaw P. Maciejewski, Wei Chen, Jianhong Lin, Shuang Liu and Jing Fang. Their work appears in journals such as Radiology, Clinica Chimica Acta and Leukemia.

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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