Wonsuh Song

767 total citations · 1 hit paper
7 papers, 599 citations indexed

About

Wonsuh Song is a scholar working on Ecology, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Wonsuh Song has authored 7 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Ecology, 2 papers in Artificial Intelligence and 2 papers in Environmental Engineering. Recurrent topics in Wonsuh Song's work include Microbial Community Ecology and Physiology (2 papers), Geographic Information Systems Studies (1 paper) and Bone Tissue Engineering Materials (1 paper). Wonsuh Song is often cited by papers focused on Microbial Community Ecology and Physiology (2 papers), Geographic Information Systems Studies (1 paper) and Bone Tissue Engineering Materials (1 paper). Wonsuh Song collaborates with scholars based in Japan, Hong Kong and United Kingdom. Wonsuh Song's co-authors include Vito L. Tagarielli, Karinna Shay Yee, Y. Li, Koon‐Yang Lee, Yukinori Matsukura, Naoto Ogawa, Toshihisa Hatta, Chiaki T. Oguchi, David J. Yu and Yuichi S. Hayakawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geomorphology and Materials & Design.

In The Last Decade

Wonsuh Song

6 papers receiving 586 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Measurements of the mechanical response of unidirectional 3D-printed PLA

2017 490 citations Y. Li, Wonsuh Song et al. Materials & Design profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Wonsuh Song Japan	5	434	235	156	145	132	7	599
Xinmiao Meng China	14	267 0.6×	74 0.3×	16 0.1×	146 1.0×	489 3.7×	37	729
Philippe Poullain France	12	128 0.3×	43 0.2×	11 0.1×	63 0.4×	488 3.7×	30	840
Keisuke Ando Japan	14	198 0.5×	66 0.3×	9 0.1×	53 0.4×	128 1.0×	38	560
Nobuaki Hattori Japan	12	30 0.1×	316 1.3×	18 0.1×	52 0.4×	179 1.4×	49	768
Gökdeniz Neşer Türkiye	13	47 0.1×	21 0.1×	26 0.2×	119 0.8×	43 0.3×	35	534
Yeye Liu China	12	61 0.1×	41 0.2×	27 0.2×	156 1.1×	9 0.1×	21	383
Johannes Welling Germany	14	48 0.1×	58 0.2×	10 0.1×	85 0.6×	208 1.6×	48	541
Sara Mantellato Switzerland	14	356 0.8×	89 0.4×	9 0.1×	42 0.3×	726 5.5×	19	1.0k
Ashish Kumar Mishra India	12	223 0.5×	58 0.2×	39 0.3×	295 2.0×	17 0.1×	39	515

Countries citing papers authored by Wonsuh Song

Since Specialization

Citations

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

Fields of papers citing papers by Wonsuh Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wonsuh Song

This figure shows the co-authorship network connecting the top 25 collaborators of Wonsuh Song. A scholar is included among the top collaborators of Wonsuh Song 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 Wonsuh Song. Wonsuh Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Song, Wonsuh, et al.. (2022). LAND SUBSIDENCE PREDICTION THROUGH MODELING OF TEMPORAL ATTRIBUTE PREDICTION OF KNOWLEDGE GRAPH. SHILAP Revista de lepidopterología. V-4-2022. 9–15.

2.

Chang, Heejun, et al.. (2021). Understanding Urban Flood Resilience in the Anthropocene: A Social–Ecological–Technological Systems (SETS) Learning Framework. Annals of the American Association of Geographers. 111(3). 837–857. 22 indexed citations

3.

Li, Y., et al.. (2017). Measurements of the mechanical response of unidirectional 3D-printed PLA. Materials & Design. 123. 154–164. 490 indexed citations breakdown →

4.

Hattanji, Tsuyoshi, Mariko Ueda, Wonsuh Song, et al.. (2013). Field and laboratory experiments on high dissolution rates of limestone in stream flow. Geomorphology. 204. 485–492. 18 indexed citations

5.

Song, Wonsuh, et al.. (2010). Laboratory experiments on bacterial weathering of granite and its constituent minerals. Géomorphologie relief processus environnement. 16(4). 327–336. 12 indexed citations

6.

Song, Wonsuh, Naoto Ogawa, Chiaki T. Oguchi, Toshihisa Hatta, & Yukinori Matsukura. (2006). Effect of Bacillus subtilis on granite weathering: A laboratory experiment. CATENA. 70(3). 275–281. 54 indexed citations

7.

Song, Wonsuh, et al.. (2002). A semantic similarity approach to electronic document modeling and integration. The HKU Scholars Hub (University of Hong Kong). 1. 116–124. 3 indexed citations

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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