Fang‐Ming Deng

5.1k citations
149 papers · 3.8k · 1 hit paper · h-index 32

Impact in

  • Urology top 0.5%
    • Urological Disorders and Treatments
    • Urinary Bladder and Prostate Research
    • Prostate Cancer Diagnosis and Treatment
    • Prostate Cancer Treatment and Research

Papers in

Fang‐Ming Deng

143 papers receiving 3.7k citations

Fang‐Ming Deng's Hit Papers

Compressive strength prediction of recycled concrete based on deep learning 2018 · 333 citations
3330+2+5Years since publication100200300

Peers

Fang‐Ming Deng
Comparison fields: 5 of 175
  • Urology 570
  • Pulmonary and Respiratory Medicine 672
  • Cancer Research 247
  • Surgery 651
  • Civil and Structural Engineering 364
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Fang‐Ming Deng relative to Weibing Li China Weibing Li's profile →
Citations per field
00.5×10×12.6×
Weibing Li · 1×
Citations per year

Countries citing papers authored by Fang‐Ming Deng

Since Specialization
Citations

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

Fields of papers citing papers by Fang‐Ming Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Compressive strength prediction of recycled concrete based on deep learning
Hit paper breakdown →
2018333
2 2000201
3 2002199
4
Wnt signaling pathway protein LEF1 in cancer, as a biomarker for prognosis and a target for treatment.
2017174
5 2009160
6 2019156
7 2004135
8 200189
9
Mini-review: perspective of the microbiome in the pathogenesis of urothelial carcinoma.
201485
10 200281
11 201581
12 200677
13 201472
14 201472
15 200164
16 201964
17 200362
18 202261
19 202259
20 201558

About Fang‐Ming Deng

Fang‐Ming Deng is a scholar working on Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering, Surgery, Molecular Biology and Biomedical Engineering, having authored 149 papers that have together received 3.8k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (22 papers), Bladder and Urothelial Cancer Treatments (16 papers), Prostate Cancer Treatment and Research (12 papers), Urological Disorders and Treatments (8 papers), Energy Harvesting in Wireless Networks (6 papers), Smart Materials for Construction (5 papers), Renal cell carcinoma treatment (5 papers) and RFID technology advancements (5 papers). The work is most often cited by research in Urology (570 citations), Pulmonary and Respiratory Medicine (672 citations), Cancer Research (247 citations), Surgery (651 citations) and Civil and Structural Engineering (364 citations). Fang‐Ming Deng has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Xiang Wu, Tung‐Tien Sun, Feng‐Xia Liang, Jonathan Melamed, Yigang He, Ping Hu, Shuangxi Zhou, Bechara Kachar, Peng Lee and Xue‐Ru Wu. Their work appears in journals such as Sensors, Electronics, Journal of Magnetic Resonance Imaging, The Journal of Urology and Energies.

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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