World's Best Scientists 2026 revealed!
Janghyeok Yoon

Janghyeok Yoon

D-Index & Metrics

Business and Management

D-Index
35
Citations
4211
World Ranking
2225
National Ranking
17

Janghyeok Yoon publication distribution in Business and Management in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Business and Management in 2026. The highlighted bar marks where Janghyeok Yoon sits on this spectrum.

35–39 publications: 2 scientists 40–44 publications: 2 scientists 45–49 publications: 5 scientists 50–54 publications: 20 scientists 55–59 publications: 39 scientists 60–64 publications: 66 scientists 65–69 publications: 52 scientists 70–74 publications: 80 scientists 75–79 publications: 83 scientists 80–84 publications: 116 scientists 85–89 publications: 94 scientists 90–94 publications: 111 scientists 95–99 publications: 122 scientists 100–104 publications: 104 scientists 105–109 publications: 113 scientists 110–114 publications: 96 scientists 115–119 publications: 97 scientists 120–124 publications: 112 scientists 125–129 publications: 93 scientists 130–134 publications: 79 scientists 135–139 publications: 69 scientists 140–144 publications: 80 scientists 145–149 publications: 81 scientists 150–154 publications: 85 scientists 155–159 publications: 50 scientists 160–164 publications: 74 scientists 165–169 publications: 61 scientists 170–174 publications: 40 scientists 175–179 publications: 44 scientists 180–184 publications: 47 scientists 185–189 publications: 59 scientists 190–194 publications: 35 scientists 195–199 publications: 37 scientists 200–204 publications: 49 scientists 205–209 publications: 48 scientists 210–214 publications: 34 scientists 215–219 publications: 31 scientists 220–224 publications: 37 scientists 225–229 publications: 34 scientists 230–234 publications: 25 scientists 235–239 publications: 28 scientists 240–244 publications: 34 scientists 245–249 publications: 28 scientists 250–254 publications: 23 scientists 255–259 publications: 22 scientists 260–264 publications: 11 scientists 265–269 publications: 16 scientists 270–274 publications: 23 scientists 275–279 publications: 12 scientists 280–284 publications: 16 scientists 285–289 publications: 10 scientists 290–294 publications: 12 scientists 295–299 publications: 12 scientists 300–304 publications: 8 scientists 305–309 publications: 13 scientists 310–314 publications: 13 scientists 315–319 publications: 6 scientists 320–324 publications: 10 scientists 325–329 publications: 9 scientists 330–334 publications: 7 scientists 335–339 publications: 10 scientists 340–344 publications: 10 scientists 345–349 publications: 7 scientists 350–354 publications: 4 scientists 355–359 publications: 10 scientists 360–364 publications: 3 scientists 365–369 publications: 7 scientists 370–374 publications: 2 scientists 375–379 publications: 8 scientists 380–384 publications: 4 scientists 385–389 publications: 5 scientists 390–394 publications: 5 scientists 395–399 publications: 2 scientists 400–404 publications: 2 scientists 405–409 publications: 4 scientists 410–414 publications: 3 scientists 415–419 publications: 2 scientists 420–424 publications: 5 scientists 425–429 publications: 3 scientists 430–434 publications: 1 scientists 435 publications: 1 scientists 436+ publications: 100 scientists
35 publications 436+

This scientist: 96 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 436 publications or more.

Janghyeok Yoon D-index placement in Business and Management in 2026

The chart shows the D-index (discipline H-index) distribution of Business and Management scientists ranked by Research.com in 2026. The highlighted bar marks where Janghyeok Yoon sits on this spectrum.

30 D-Index: 156 scientists 31 D-Index: 159 scientists 32 D-Index: 171 scientists 33 D-Index: 161 scientists 34 D-Index: 135 scientists 35 D-Index: 124 scientists 36 D-Index: 114 scientists 37 D-Index: 111 scientists 38 D-Index: 103 scientists 39 D-Index: 89 scientists 40 D-Index: 81 scientists 41 D-Index: 97 scientists 42 D-Index: 80 scientists 43 D-Index: 69 scientists 44 D-Index: 68 scientists 45 D-Index: 63 scientists 46 D-Index: 54 scientists 47 D-Index: 69 scientists 48 D-Index: 50 scientists 49 D-Index: 58 scientists 50 D-Index: 54 scientists 51 D-Index: 62 scientists 52 D-Index: 54 scientists 53 D-Index: 43 scientists 54 D-Index: 49 scientists 55 D-Index: 35 scientists 56 D-Index: 40 scientists 57 D-Index: 44 scientists 58 D-Index: 34 scientists 59 D-Index: 29 scientists 60 D-Index: 48 scientists 61 D-Index: 32 scientists 62 D-Index: 30 scientists 63 D-Index: 22 scientists 64 D-Index: 22 scientists 65 D-Index: 19 scientists 66 D-Index: 20 scientists 67 D-Index: 18 scientists 68 D-Index: 17 scientists 69 D-Index: 21 scientists 70 D-Index: 20 scientists 71 D-Index: 19 scientists 72 D-Index: 14 scientists 73 D-Index: 10 scientists 74 D-Index: 16 scientists 75 D-Index: 24 scientists 76 D-Index: 13 scientists 77 D-Index: 19 scientists 78 D-Index: 8 scientists 79 D-Index: 6 scientists 80 D-Index: 4 scientists 81 D-Index: 12 scientists 82 D-Index: 7 scientists 83 D-Index: 7 scientists 84 D-Index: 6 scientists 85 D-Index: 10 scientists 86 D-Index: 4 scientists 87 D-Index: 11 scientists 88 D-Index: 6 scientists 89+ D-Index: 96 scientists
30 D-Index 89+

This scientist: 35 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 89 D-Index or more.

Best Publications

  • Social media mining for product planning: A product opportunity mining approach based on topic modeling and sentiment analysis

    Byeongki Jeong;Janghyeok Yoon;Jae-Min Lee

  • Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks

    Janghyeok Yoon;Kwangsoo Kim

  • Identifying technological competition trends for R&D planning using dynamic patent maps: SAO-based content analysis

    Janghyeok Yoon;Hyunseok Park;Kwangsoo Kim

  • Detecting signals of new technological opportunities using semantic patent analysis and outlier detection

    Janghyeok Yoon;Kwangsoo Kim

  • Detecting weak signals for long-term business opportunities using text mining of Web news

    Janghyeok Yoon

  • SAO network analysis of patents for technology trends identification: a case study of polymer electrolyte membrane technology in proton exchange membrane fuel cells

    Sungchul Choi;Janghyeok Yoon;Kwangsoo Kim;Jae Yeol Lee

  • A patent intelligence system for strategic technology planning

    Hyunseok Park;Kwangsoo Kim;Sungchul Choi;Janghyeok Yoon

  • Identifying patent infringement using SAO based semantic technological similarities

    Hyunseok Park;Janghyeok Yoon;Kwangsoo Kim

  • TrendPerceptor: A property-function based technology intelligence system for identifying technology trends from patents

    Janghyeok Yoon;Kwangsoo Kim

  • An SAO‐based text‐mining approach for technology roadmapping using patent information

    Sungchul Choi;Hongbin Kim;Janghyeok Yoon;Kwangsoo Kim

  • Social media analytics and business intelligence research: A systematic review

    Jaewoong Choi;Janghyeok Yoon;Jaemin Chung;Byoung-Youl Coh

  • Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: the case of Korean national R&D

    Hyunseok Park;Janghyeok Yoon

  • Application technology opportunity discovery from technology portfolios: Use of patent classification and collaborative filtering

    Youngjin Park;Janghyeok Yoon

  • Analyzing interdisciplinarity of technology fusion using knowledge flows of patents

    Namuk Ko;Janghyeok Yoon;Wonchul Seo

  • Product opportunity identification based on internal capabilities using text mining and association rule mining

    Wonchul Seo;Janghyeok Yoon;Hyunseok Park;Byoung-youl Coh

  • Technology opportunity discovery (TOD) from existing technologies and products: A function-based TOD framework

    Janghyeok Yoon;Hyunseok Park;Wonchul Seo;Jae Min Lee

  • Identifying product opportunities using collaborative filtering-based patent analysis

    Janghyeok Yoon;Wonchul Seo;Byoung-Youl Coh;Inseok Song

  • Invention property-function network analysis of patents: a case of silicon-based thin film solar cells

    Janghyeok Yoon;Sungchul Choi;Kwangsoo Kim

  • An automated method for identifying TRIZ evolution trends from patents

    Janghyeok Yoon;Kwangsoo Kim

  • Tracing evolving trends in printed electronics using patent information

    Janghyeok Yoon;Youngjin Park;Mujin Kim;Jongsu Lee

Frequent Co-Authors

Kwangsoo Kim
Kwangsoo Kim Electronics and Telecommunications Research Institute
Jeung Whan Han
Jeung Whan Han Sungkyunkwan University
Wi Hyoung Lee
Wi Hyoung Lee Konkuk University

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