Heesoo Park

879 citations
47 papers · 649 indexed · h-index 15
Topics
Perovskite Materials and Applications (11 papers)Machine Learning in Materials Science (8 papers)Chalcogenide Semiconductor Thin Films (7 papers)
Partner nations
QatarSouth KoreaIreland

In The Last Decade

Heesoo Park

44 papers receiving 639 citations

Peers

Heesoo Park
Comparison fields: 5 of 111
  • Materials Chemistry 293
  • Electrical and Electronic Engineering 268
  • Molecular Biology 91
  • Plant Science 76
  • Electronic, Optical and Magnetic Materials 55
Replace Mo Yang with:
Mo Yang China
Chin-Chang Chen Taiwan
Mohamed J. Saadh Jordan
Gaurav Singh India
Mahendra Singh Rathore India
Junseong Kim South Korea
Xiaohua Wang China
Tie Han China
Alamzeb Khan United States
Heesoo Park relative to Mo Yang China Mo Yang's profile →
Citations per field
00.5×2.8×
Mo Yang · 1×
Citations per year

Countries citing papers authored by Heesoo Park

Since Specialization
Citations

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

Fields of papers citing papers by Heesoo Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heesoo Park

This figure shows the co-authorship network connecting the top 25 collaborators of Heesoo Park. A scholar is included among the top collaborators of Heesoo Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heesoo Park. Heesoo Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 3
4 1
5 7
6 0
7 8
8 24
9 4
10 11
11 24
12 50
13 5
14 1
15 27
16 7
17 1
18 18
19
The Effects of Repeated Oral Summarization on the Learners’ IL Performance and Summary Quality
1
20 37

About Heesoo Park

Heesoo Park is a scholar working on General Dentistry, Materials Chemistry and Transplantation, having authored 47 papers that have together received 649 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (11 papers), Machine Learning in Materials Science (8 papers) and Chalcogenide Semiconductor Thin Films (7 papers). The work is most often cited by research in Transplantation (51 citations), Materials Chemistry (293 citations) and Electrical and Electronic Engineering (268 citations). Heesoo Park has collaborated with scholars based in Qatar, South Korea and Ireland. Frequent co-authors include Fedwa El‐Mellouhi, Stefano Sanvito, Halima Bensmail, Raghvendra Mall, Fahhad H. Alharbi, Nouar Tabet, Jae‐Hyuk Yu, Sun Chang Kim, Gerhard H. Braus and Özgür Bayram. Their work appears in journals such as Chemistry of Materials, Food Chemistry and The Journal of Physical Chemistry C.

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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