Dehua Kong

412 citations
33 papers · 267 · h-index 9

Impact in

Papers in

Dehua Kong

30 papers receiving 259 citations

Peers

Dehua Kong
Comparison fields: 5 of 91
  • Clinical Psychology 44
  • Immunology 32
  • Cancer Research 17
  • Oncology 30
  • Radiological and Ultrasound Technology 5
Replace Denise Küster with:
Denise Küster Germany
Martina Loibner Austria
Priyanka Tiwari India
Mindy D Szeto United States
Anas Belouali United States
Fuad Ismail Malaysia
Seungju Lee South Korea
Laura Elizabeth Bedford Hong Kong
Sicheng Zhou United States
Dehua Kong relative to Denise Küster Germany Denise Küster's profile →
Citations per field
00.5×2.7×
Denise Küster · 1×
Citations per year

Countries citing papers authored by Dehua Kong

Since Specialization
Citations

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

Fields of papers citing papers by Dehua Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202173
2 201838
3 202226
4 202022
5 201813
6 201210
7 20199
8 20218
9 20188
10 20167
11 20216
12 20225
13 20215
14 20175
15 20224
16 20234
17 20203
18 20213
19 20242
20 20192

About Dehua Kong

Dehua Kong is a scholar working on Molecular Biology, Artificial Intelligence, Computer Networks and Communications, Oncology and Epidemiology, having authored 33 papers that have together received 267 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (3 papers), RNA Interference and Gene Delivery (2 papers), Educational Technology and Pedagogy (2 papers), Customer churn and segmentation (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Liver physiology and pathology (1 paper), COVID-19 epidemiological studies (1 paper) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Clinical Psychology (44 citations), Immunology (32 citations), Cancer Research (17 citations), Oncology (30 citations) and Radiological and Ultrasound Technology (5 citations). Dehua Kong has collaborated with scholars based in China and Australia. Frequent co-authors include Wei Huang, Min Ma, Lei Zhang, Wenting Cheng, Zhaoli Zhang, Jinlong Li, Adeel Khan, Yuqing Zhai, Aihua Liu and Ying Sun. Their work appears in journals such as Scientific Reports, Aquaculture, Journal of Biomedical Informatics, International Immunopharmacology and Biosensors and Bioelectronics.

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.

Explore authors with similar magnitude of impact