Hsing‐Chang Ni

1.1k citations
37 papers · 822 indexed · h-index 16
Topics
Attention Deficit Hyperactivity Disorder (19 papers)Autism Spectrum Disorder Research (18 papers)Transcranial Magnetic Stimulation Studies (10 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENeurology

In The Last Decade

Hsing‐Chang Ni

33 papers receiving 811 citations

Peers

Hsing‐Chang Ni
Comparison fields: 5 of 71
  • Cognitive Neuroscience 481
  • Psychiatry and Mental health 447
  • Clinical Psychology 197
  • Experimental and Cognitive Psychology 129
  • Neurology 115
Replace Peisi Yan with:
Peisi Yan United States
Brittany K. Taylor United States
Sharron E. Dawes United States
Nicolle Zimmermann Brazil
Brant Wenegrat United States
Joseph Aloi United States
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Ami Tsuchida France
Yann Quidé Australia
Giampiero Villa Italy
Hsing‐Chang Ni relative to Peisi Yan United States Peisi Yan's profile →
Citations per field
00.5×4.7×
Peisi Yan · 1×
Citations per year

Countries citing papers authored by Hsing‐Chang Ni

Since Specialization
Citations

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

Fields of papers citing papers by Hsing‐Chang Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsing‐Chang Ni. 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 Hsing‐Chang Ni. The network helps show where Hsing‐Chang Ni may publish in the future.

Co-authorship network of co-authors of Hsing‐Chang Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Hsing‐Chang Ni. A scholar is included among the top collaborators of Hsing‐Chang Ni 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 Hsing‐Chang Ni. Hsing‐Chang Ni 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 1
2 0
3 6
4 4
5 0
6 1
7 5
8 14
9 0
10 9
11 6
12 19
13 8
14 41
15 15
16 11
17 20
18 62
19 21
20 106

About Hsing‐Chang Ni

Hsing‐Chang Ni is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Neurology, having authored 37 papers that have together received 822 indexed citations. Recurring topics across this work include Attention Deficit Hyperactivity Disorder (19 papers), Autism Spectrum Disorder Research (18 papers) and Transcranial Magnetic Stimulation Studies (10 papers). The work is most often cited by research in Psychiatry and Mental health (447 citations), Cognitive Neuroscience (481 citations) and Neurology (115 citations). Hsing‐Chang Ni has collaborated with scholars based in Taiwan, Canada and United States. Frequent co-authors include Susan Shur‐Fen Gau, Yu‐Yu Wu, Hsiang‐Yuan Lin, Chi‐Yung Shang, Yen‐Nan Chiu, Wei‐Tsuen Soong, Wen‐Yih Isaac Tseng, Hui‐Chun Huang, Yu‐Ju Lin and Sophie Hsin‐Yi Liang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

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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