Chi-Sing Ho

1.4k citations
12 papers · 998 · 1 hit paper · h-index 8

Impact in

Papers in

Chi-Sing Ho

12 papers receiving 980 citations

Chi-Sing Ho's Hit Papers

Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning 2019 · 641 citations
6410+2+4Years since publication200400600

Peers

Chi-Sing Ho
Comparison fields: 5 of 104
  • Biophysics 477
  • Analytical Chemistry 240
  • Clinical Biochemistry 134
  • Electronic, Optical and Magnetic Materials 221
  • Biomedical Engineering 443
Replace Amr A. E. Saleh with:
Amr A. E. Saleh United States
Anuradha Ramoji Germany
Lena Blackmon United States
Silvie Bernatová Czechia
Wilm Schumacher Germany
Stephan Stöckel Germany
Michaela Harz Germany
Zdeněk Pilát Czechia
Oleg Ryabchykov Germany
Shamsheer Ahmad Pakistan
Chi-Sing Ho relative to Amr A. E. Saleh United States Amr A. E. Saleh's profile →
Citations per field
00.5×1.5×
Amr A. E. Saleh · 1×
Citations per year

Countries citing papers authored by Chi-Sing Ho

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Sing Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Sing Ho. 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 Chi-Sing Ho. The network helps show where Chi-Sing Ho may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
Hit paper breakdown →
2019641
2 2016106
3 202080
4 200959
5 202055
6 201521
7 202216
8 201414
9 20193
10 20231
11 20211
12 20181

About Chi-Sing Ho

Chi-Sing Ho is a scholar working on Biophysics, Biomedical Engineering, Electronic, Optical and Magnetic Materials, Molecular Biology and Clinical Biochemistry, having authored 12 papers that have together received 998 indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (6 papers), Biosensors and Analytical Detection (4 papers), Bacterial Identification and Susceptibility Testing (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers), Cancer Genomics and Diagnostics (1 paper), Molecular spectroscopy and chirality (1 paper), Digital Imaging for Blood Diseases (1 paper) and Metamaterials and Metasurfaces Applications (1 paper). The work is most often cited by research in Biophysics (477 citations), Analytical Chemistry (240 citations), Clinical Biochemistry (134 citations), Electronic, Optical and Magnetic Materials (221 citations) and Biomedical Engineering (443 citations). Chi-Sing Ho has collaborated with scholars based in United States, Egypt and Netherlands. Frequent co-authors include Jennifer A. Dionne, Amr A. E. Saleh, Stefanie S. Jeffrey, Niaz Banaei, Stefano Ermon, Mark Holodniy, Catherine A. Hogan, Lena Blackmon, Neal Jean and Yang Zhao. Their work appears in journals such as Nature Communications, Neuro-Oncology Advances, The Journal of Chemical Physics, ACS Photonics and Nano 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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