World's Best Scientists 2026 revealed!
So Young Sohn

So Young Sohn

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Social Sciences and Humanities
Korea
2026

D-Index & Metrics

Social Sciences and Humanities

D-Index
47
Citations
7986
World Ranking
3432
National Ranking
5

Engineering and Technology

D-Index
47
Citations
7792
World Ranking
4922
National Ranking
131

So Young Sohn publication distribution in Social Sciences and Humanities in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Social Sciences and Humanities in 2026. The highlighted bar marks where So Young Sohn sits on this spectrum.

44–53 publications: 28 scientists 54–63 publications: 61 scientists 64–73 publications: 161 scientists 74–83 publications: 225 scientists 84–93 publications: 301 scientists 94–103 publications: 390 scientists 104–113 publications: 406 scientists 114–123 publications: 474 scientists 124–133 publications: 453 scientists 134–143 publications: 434 scientists 144–153 publications: 407 scientists 154–163 publications: 411 scientists 164–173 publications: 391 scientists 174–183 publications: 313 scientists 184–193 publications: 319 scientists 194–203 publications: 304 scientists 204–213 publications: 285 scientists 214–223 publications: 246 scientists 224–233 publications: 213 scientists 234–243 publications: 170 scientists 244–253 publications: 167 scientists 254–263 publications: 162 scientists 264–273 publications: 138 scientists 274–283 publications: 138 scientists 284–293 publications: 113 scientists 294–303 publications: 106 scientists 304–313 publications: 95 scientists 314–323 publications: 101 scientists 324–333 publications: 81 scientists 334–343 publications: 69 scientists 344–353 publications: 56 scientists 354–363 publications: 36 scientists 364–373 publications: 42 scientists 374–383 publications: 41 scientists 384–393 publications: 44 scientists 394–403 publications: 27 scientists 404–413 publications: 30 scientists 414–423 publications: 20 scientists 424–433 publications: 29 scientists 434–443 publications: 29 scientists 444–453 publications: 25 scientists 454–463 publications: 19 scientists 464–473 publications: 21 scientists 474–483 publications: 11 scientists 484–493 publications: 17 scientists 494–503 publications: 7 scientists 504–513 publications: 6 scientists 514–523 publications: 12 scientists 524–533 publications: 10 scientists 534–543 publications: 7 scientists 544–553 publications: 6 scientists 554–563 publications: 12 scientists 564–569 publications: 8 scientists 570+ publications: 100 scientists
44 publications 570+

This scientist: 300 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 570 publications or more.

So Young Sohn D-index placement in Social Sciences and Humanities in 2026

The chart shows the D-index (discipline H-index) distribution of Social Sciences and Humanities scientists ranked by Research.com in 2026. The highlighted bar marks where So Young Sohn sits on this spectrum.

30 D-Index: 177 scientists 31 D-Index: 210 scientists 32 D-Index: 222 scientists 33 D-Index: 188 scientists 34 D-Index: 181 scientists 35 D-Index: 243 scientists 36 D-Index: 261 scientists 37 D-Index: 272 scientists 38 D-Index: 278 scientists 39 D-Index: 300 scientists 40 D-Index: 297 scientists 41 D-Index: 308 scientists 42 D-Index: 313 scientists 43 D-Index: 300 scientists 44 D-Index: 269 scientists 45 D-Index: 260 scientists 46 D-Index: 228 scientists 47 D-Index: 251 scientists 48 D-Index: 203 scientists 49 D-Index: 186 scientists 50 D-Index: 187 scientists 51 D-Index: 166 scientists 52 D-Index: 138 scientists 53 D-Index: 141 scientists 54 D-Index: 131 scientists 55 D-Index: 137 scientists 56 D-Index: 109 scientists 57 D-Index: 129 scientists 58 D-Index: 95 scientists 59 D-Index: 105 scientists 60 D-Index: 106 scientists 61 D-Index: 86 scientists 62 D-Index: 94 scientists 63 D-Index: 77 scientists 64 D-Index: 79 scientists 65 D-Index: 59 scientists 66 D-Index: 68 scientists 67 D-Index: 51 scientists 68 D-Index: 49 scientists 69 D-Index: 40 scientists 70 D-Index: 43 scientists 71 D-Index: 40 scientists 72 D-Index: 50 scientists 73 D-Index: 46 scientists 74 D-Index: 43 scientists 75 D-Index: 45 scientists 76 D-Index: 45 scientists 77 D-Index: 30 scientists 78 D-Index: 25 scientists 79 D-Index: 31 scientists 80 D-Index: 29 scientists 81 D-Index: 18 scientists 82 D-Index: 21 scientists 83 D-Index: 26 scientists 84 D-Index: 15 scientists 85 D-Index: 15 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 12 scientists 89 D-Index: 7 scientists 90 D-Index: 19 scientists 91 D-Index: 20 scientists 92 D-Index: 13 scientists 93 D-Index: 9 scientists 94 D-Index: 13 scientists 95 D-Index: 8 scientists 96 D-Index: 7 scientists 97 D-Index: 6 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100+ D-Index: 97 scientists
30 D-Index 100+

This scientist: 47 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 100 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Social Sciences and Humanities in Korea Leader Award

Overview

So Young Sohn is affiliated with Yonsei University in South Korea and has a research focus primarily within Business, Management, and Accounting. Their work spans several subfields including Economics and Econometrics, Management of Technology and Innovation, Strategy and Management, Accounting, and Management Information Systems.

The scientist has contributed to topics such as Intellectual Property and Patents, Innovation and Knowledge Management, Innovation Policy and R&D, Innovation Diffusion and Forecasting, FinTech, Crowdfunding, Digital Finance, Microfinance and Financial Inclusion, and Machine Learning in Materials Science.

Recent notable publications by So Young Sohn include:

  • Machine-learning-based deep semantic analysis approach for forecasting new technology convergence (2020), Technological Forecasting and Social Change
  • Multitask learning for health condition identification and remaining useful life prediction: deep convolutional neural network approach (2020), Journal of Intelligent Manufacturing
  • Early detection of valuable patents using a deep learning model: Case of semiconductor industry (2020), Technological Forecasting and Social Change
  • Exploring new digital therapeutics technologies for psychiatric disorders using BERTopic and PatentSBERTa (2022), Technological Forecasting and Social Change
  • Graph convolutional network-based credit default prediction utilizing three types of virtual distances among borrowers (2020), Expert Systems with Applications

The scientist frequently publishes in journals such as PLoS ONE, Technological Forecasting and Social Change, Scientometrics, IEEE Transactions on Engineering Management, and Journal of Intelligent Manufacturing.

They collaborate regularly with several coauthors, including Won Kyung Lee, Su Jung Jee, Tae San Kim, Jong Wook Lee, and Hyunwoo Woo, reflecting a network of research partnerships.

Best Publications

  • Support vector machines for default prediction of SMEs based on technology credit

    Hong Sik Kim;So Young Sohn

  • Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents

    Won Sang Lee;Eun Jin Han;So Young Sohn

  • Data fusion, ensemble and clustering to improve the classification accuracy for the severity of road traffic accidents in Korea

    So Young Sohn;Sung Ho Lee

  • Structural equation model for predicting technology commercialization success index (tcsi)

    So Young Sohn;Tae Hee Moon

  • Fuzzy QFD for supply chain management with reliability consideration

    So Young Sohn;In Su Choi

  • Meta analysis of classification algorithms for pattern recognition

    So Young Sohn

  • Global stock market investment strategies based on financial network indicators using machine learning techniques

    Tae Kyun Lee;Tae Kyun Lee;Joon Hyung Cho;Deuk Sin Kwon;So Young Sohn

  • Technology credit scoring model with fuzzy logistic regression

    So Young Sohn;Dong Ha Kim;Jin Hee Yoon

  • Segmentation of stock trading customers according to potential value

    H. W. Shin;S. Y. Sohn

  • Pattern recognition for road traffic accident severity in Korea.

    So Young Sohn;Hyungwon Shin

  • A novel decomposition analysis of green patent applications for the evaluation of R&D efforts to reduce CO2 emissions from fossil fuel energy consumption

    Joon Hyung Cho;So Young Sohn

  • Beyond absorptive capacity in open innovation process: the relationships between openness, capacities and firm performance

    Joon Mo Ahn;Yonghan Ju;Tae Hee Moon;Timothy Herbert Minshall

  • Structural equation model for the evaluation of national funding on R&D project of SMEs in consideration with MBNQA criteria.

    S.Y. Sohn;Yong Gyu Joo;Hong Kyu Han

  • Decision Tree based on data envelopment analysis for effective technology commercialization

    So Young Sohn;Tae Hee Moon

  • Cluster-based dynamic scoring model

    Michael K. Lim;So Young Sohn

  • Technological convergence in standards for information and communication technologies

    Eun Jin Han;So Young Sohn

  • Machine-learning-based deep semantic analysis approach for forecasting new technology convergence

    Tae San Kim;So Young Sohn

  • Comparison of technology efficiency for CO2 emissions reduction among European countries based on DEA with decomposed factors

    Deuk Sin Kwon;Joon Hyung Cho;So Young Sohn

  • An Optimization Approach for the Placement of Bicycle-sharing stations to Reduce Short Car Trips: An Application to the City of Seoul

    Chung Park;So Young Sohn

  • Multitask learning for health condition identification and remaining useful life prediction: deep convolutional neural network approach

    Tae San Kim;So Young Sohn

  • Predicting the financial performance index of technology fund for SME using structural equation model

    So Young Sohn;Hong Sik Kim;Tae Hee Moon

  • Searching customer patterns of mobile service using clustering and quantitative association rule

    So Young Sohn;Yoonseong Kim

  • Customer pattern search for after-sales service in manufacturing

    Jin Sook Ahn;So Young Sohn

  • Structural equation model for effective CRM of digital content industry

    Yong Gyu Joo;So Young Sohn

Frequent Co-Authors

David Probert
David Probert University of Cambridge
David J. Hand
David J. Hand Imperial College London
Youngjo Lee
Youngjo Lee Seoul National University

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