Jun SADAKI

530 citations
33 papers · 398 · h-index 9

Impact in

Papers in

Jun SADAKI

30 papers receiving 382 citations

Peers

Jun SADAKI
Comparison fields: 5 of 55
  • Industrial and Manufacturing Engineering 251
  • Pollution 68
  • Mechanical Engineering 210
  • Geochemistry and Petrology 22
  • Water Science and Technology 49
Replace Sheila Devasahayam with:
Sheila Devasahayam Australia
Hans Leibold Germany
Anouk Bosmans Belgium
Ayesha Tariq Sipra China
Panagiotis Evangelopoulos Sweden
Małgorzata Sieradzka Poland
C. Della Rocca Italy
Ionela Birloaga Italy
Krystian Krochmalny Poland
Jun SADAKI relative to Sheila Devasahayam Australia Sheila Devasahayam's profile →
Citations per field
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Sheila Devasahayam · 1×
Citations per year

Countries citing papers authored by Jun SADAKI

Since Specialization
Citations

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

Fields of papers citing papers by Jun SADAKI

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun SADAKI, 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 Jun SADAKI Line = papers co-authored together Jun SADAKI 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 200678
2 200976
3 200556
4 200836
5 200623
6 200321
7 200618
8 200313
9
Sorting Techniques for Plastics Recycling
200611
10 20067
11 20027
12 20086
13 20066
14 20056
15 20116
16 20075
17
Removal of Anionic Metal Ions from Wastewater by Hydroxide-type Adsorbents
20064
18 20073
19 19992
20 20082

About Jun SADAKI

Jun SADAKI is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Water Science and Technology, Computational Mechanics and Civil and Structural Engineering, having authored 33 papers that have together received 398 indexed citations. Recurring topics across this work include Recycling and Waste Management Techniques (10 papers), Minerals Flotation and Separation Techniques (8 papers), Extraction and Separation Processes (8 papers), Granular flow and fluidized beds (7 papers), Mineral Processing and Grinding (7 papers), Advanced Control Systems Optimization (3 papers), Municipal Solid Waste Management (2 papers) and Arsenic contamination and mitigation (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (251 citations), Pollution (68 citations), Mechanical Engineering (210 citations), Geochemistry and Petrology (22 citations) and Water Science and Technology (49 citations). Jun SADAKI has collaborated with scholars based in Japan, China and South Korea. Frequent co-authors include Toyohisa Fujita, Gjergj Dodbiba, Atsushi Shibayama, Katsunori Okaya, Kunihiko Takahashi, Nobuaki Sato, Atsushi Sasaki, Akira Otsuki, Guangjun Mei and Chiharu Tokoro. Their work appears in journals such as Data Science Journal, KONA Powder and Particle Journal, Journal of Cleaner Production, Japanese Journal of Applied Physics and Minerals Engineering.

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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