Su Diao

499 citations
13 papers · 400 · h-index 7

Impact in

    • Recycling and utilization of industrial and municipal waste in materials production
    • Innovations in Concrete and Construction Materials
    • Recycled Aggregate Concrete Performance
    • Structural Behavior of Reinforced Concrete

Papers in

Su Diao

12 papers receiving 385 citations

Peers

Su Diao
Comparison fields: 5 of 49
  • Building and Construction 194
  • Nuclear Energy and Engineering 6
  • Civil and Structural Engineering 270
  • Earth-Surface Processes 33
  • Spectroscopy 58
Replace Junjie Feng with:
Junjie Feng China
Amritha Raj India
Jarosław Strzałkowski Poland
J.J. Chen China
Shunquan Zhang China
Mohammad Reisi Iran
Syed Nasir Shah Pakistan
Yuanchun Liu China
Beata Jaworska Poland
В. И. Логанина Russia
Su Diao relative to Junjie Feng China Junjie Feng's profile →
Citations per field
00.5×1.7×
Junjie Feng · 1×
Citations per year

Countries citing papers authored by Su Diao

Since Specialization
Citations

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

Fields of papers citing papers by Su Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Su Diao, 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 Su Diao Line = papers co-authored together Su Diao links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2016155
2 2017120
3 201767
4 202416
5 202016
6 20199
7 20116
8 20244
9 20253
10 20092
11 20241
12 20241
13 20240

About Su Diao

Su Diao is a scholar working on Civil and Structural Engineering, Artificial Intelligence, Building and Construction, Pollution and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 400 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Innovative concrete reinforcement materials (3 papers), Brain Tumor Detection and Classification (2 papers), Concrete and Cement Materials Research (2 papers), Building materials and conservation (2 papers), Structural Behavior of Reinforced Concrete (2 papers), Smart Materials for Construction (2 papers) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Building and Construction (194 citations), Nuclear Energy and Engineering (6 citations), Civil and Structural Engineering (270 citations), Earth-Surface Processes (33 citations) and Spectroscopy (58 citations). Su Diao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Asad Hanif, Zongjin Li, Zeyu Lu, Tian‐Yuan Fan, Xiaohui Zeng, Yu Cheng, Huajun Zhang, P. Parthasarathy, Guoxing Sun and Huafu Pei. Their work appears in journals such as Construction and Building Materials, International Journal of Concrete Structures and Materials, Case Studies in Construction Materials, Petroleum Exploration and Development and PLoS ONE.

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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