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Donghong Ji

Donghong Ji

Wuhan University
China

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 32 13179 12791 1611 1602 165 4333

Donghong Ji publications per year

The chart shows the history of publications by Donghong Ji between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Donghong Ji published across 29 years, from 1997 to 2025, averaging 6.6 papers a year. Output peaked at 24 publications in 2020. 33 of the 191 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 24. Peak 24 publications in 2020. 1997: 1 publication 1998: 0 publications 1999: 0 publications 2000: 1 publication 2001: 0 publications 2002: 1 publication 2003: 2 publications 2004: 5 publications 2005: 9 publications 2006: 7 publications 2007: 3 publications 2008: 5 publications 2009: 3 publications 2010: 1 publication 2011: 6 publications 2012: 3 publications 2013: 9 publications 2014: 8 publications 2015: 5 publications 2016: 14 publications 2017: 1 publication 2018: 6 publications 2019: 3 publications 2020: 24 publications 2021: 14 publications 2022: 16 publications 2023: 11 publications 2024: 23 publications 2025: 10 publications
1997 2025

191 publications in total across all disciplines

View publications per year as a table
Donghong Ji: publications per year, 1997 to 2025
Year Publications
1997 1
1998 0
1999 0
2000 1
2001 0
2002 1
2003 2
2004 5
2005 9
2006 7
2007 3
2008 5
2009 3
2010 1
2011 6
2012 3
2013 9
2014 8
2015 5
2016 14
2017 1
2018 6
2019 3
2020 24
2021 14
2022 16
2023 11
2024 23
2025 10
Total 191
Download as CSV

Donghong Ji publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Donghong Ji sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 162–171 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534 165
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Donghong Ji D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Donghong Ji sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 32–33 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983 32
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Donghong Ji is affiliated with Wuhan University in China and has made extensive contributions to the field of computer science, with a focus on artificial intelligence and related subfields.

The scientist's work spans several main topics, including:

  • Topic Modeling
  • Sentiment Analysis and Opinion Mining
  • Natural Language Processing Techniques
  • Advanced Text Analysis Techniques
  • Text and Document Classification Technologies
  • Text Readability and Simplification
  • Speech and dialogue systems

Donghong Ji's research is concentrated primarily within computer science, with significant publications in artificial intelligence. Other subfields covered by their work include computer vision and pattern recognition, sociology and political science, information systems, and experimental and cognitive psychology.

Key recent publications include:

  • "Latent Emotion Memory for Multi-Label Emotion Classification," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Encoder-Decoder Based Unified Semantic Role Labeling with Label-Aware Syntax," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training," 2022, ACM Transactions on Information Systems
  • "Topic-Enhanced Capsule Network for Multi-Label Emotion Classification," 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Emoji-Based Sentiment Analysis Using Attention Networks," 2020, ACM Transactions on Asian and Low-Resource Language Information Processing

They have published extensively in the following venues:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Asian and Low-Resource Language Information Processing
  • Neurocomputing

Frequent collaborators include Hao Fei, Fei Li, Bobo Li, Chong Teng, and Yafeng Ren, with coauthorship counts ranging from 17 to 37 publications.

Best Publications

  • The CHEMDNER corpus of chemicals and drugs and its annotation principles.

    Martin Krallinger;Obdulia Rabal;Florian Leitner;Miguel Vazquez

  • Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification.

    Hao Tang;Donghong Ji;Chenliang Li;Qiji Zhou

  • Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information

    GuoDong Zhou;Min Zhang;DongHong Ji;QiaoMing Zhu

  • A neural joint model for entity and relation extraction from biomedical text

    Fei Li;Meishan Zhang;Guohong Fu;Donghong Ji

  • Neural networks for deceptive opinion spam detection

    Yafeng Ren;Donghong Ji

  • Context-sensitive Twitter sentiment classification using neural network

    Yafeng Ren;Yue Zhang;Meishan Zhang;Donghong Ji

  • A topic-enhanced word embedding for Twitter sentiment classification

    Yafeng Ren;Ruimin Wang;Donghong Ji

  • Relation Extraction Using Label Propagation Based Semi-Supervised Learning

    Jinxiu Chen;Donghong Ji;Chew Lim Tan;Zhengyu Niu

  • Word Sense Disambiguation Using Label Propagation Based Semi-Supervised Learning

    Zheng-Yu Niu;Dong-Hong Ji;Chew Lim Tan

  • Long short-term memory RNN for biomedical named entity recognition

    Chen Lyu;Bo Chen;Yafeng Ren;Donghong Ji

  • Latent Emotion Memory for Multi-Label Emotion Classification

    Hao Fei;Yue Zhang;Yafeng Ren;Donghong Ji

  • Boundaries and edges rethinking: An end-to-end neural model for overlapping entity relation extraction

    Hao Fei;Yafeng Ren;Donghong Ji

  • Enriching contextualized language model from knowledge graph for biomedical information extraction.

    Hao Fei;Yafeng Ren;Yue Zhang;Donghong Ji

  • Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge

    Shengqiong Wu;Hao Fei;Yafeng Ren;Donghong Ji

  • Positive Unlabeled Learning for Deceptive Reviews Detection

    yafeng ren;donghong ji;hongbin zhang

  • Unsupervised Feature Selection for Relation Extraction

    Jinxiu Chen;Donghong Ji;Chew Lim Tan;Zhengyu Niu

  • Towards Twitter sentiment classification by multi-level sentiment-enriched word embeddings

    Shufeng Xiong;Hailian Lv;Weiting Zhao;Donghong Ji

  • Improving Twitter sentiment classification using topic-enriched multi-prototype word embeddings

    Yafeng Ren;Yue Zhang;Meishan Zhang;Donghong Ji

  • On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training

    Unknown

  • A short text sentiment-topic model for product reviews

    Shufeng Xiong;Shufeng Xiong;Kuiyi Wang;Donghong Ji;Bingkun Wang

  • Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus

    Hao Fei;Meishan Zhang;Donghong Ji

  • Encoder-Decoder Based Unified Semantic Role Labeling with Label-Aware Syntax

    Hao Fei;Fei Li;Bobo Li;Donghong Ji

  • Learning to Detect Deceptive Opinion Spam: A Survey

    Unknown

  • Overview of the NTCIR-7 ACLIA Tasks: Advanced Cross-Lingual Information Access

    Teruko Mitamura;Eric Nyberg;Hideki Shima;Tsuneaki Kato

  • HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations

    Jingye Li;Donghong Ji;Fei Li;Meishan Zhang

  • Better Combine Them Together! Integrating Syntactic Constituency and Dependency Representations for Semantic Role Labeling

    Unknown

Frequent Co-Authors

Hao Fei
Hao Fei National University of Singapore
Yue Zhang
Yue Zhang Westlake University
Chew Lim Tan
Chew Lim Tan National University of Singapore
Meishan Zhang
Meishan Zhang Harbin Institute of Technology
Guodong Zhou
Guodong Zhou Soochow University
Min Zhang
Min Zhang Tsinghua University
Tetsuya Sakai
Tetsuya Sakai Waseda University
Wenjie Li
Wenjie Li Hong Kong Polytechnic University
Teruko Mitamura
Teruko Mitamura Carnegie Mellon University
Eric Nyberg
Eric Nyberg Carnegie Mellon University

External Links

Personal website of Donghong Ji

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Best Scientists Citing Donghong Ji

Guodong Zhou

Guodong Zhou

Soochow University

Publications: 21

Zhiyong Lu

Zhiyong Lu

National Institutes of Health

Publications: 20

Yue Zhang

Yue Zhang

Westlake University

Publications: 17

Bing Liu

Bing Liu

University of Illinois at Chicago

Publications: 16

Hao Fei

Hao Fei

National University of Singapore

Publications: 14

Zhihao Yang

Zhihao Yang

Dalian University of Technology

Publications: 14

Thien Huu Nguyen

Thien Huu Nguyen

University of Oregon

Publications: 12

Hai Zhao

Hai Zhao

Shanghai Jiao Tong University

Publications: 12

Chris Develder

Chris Develder

Ghent University

Publications: 11

Chih-Hsuan Wei

Chih-Hsuan Wei

National Institutes of Health

Publications: 11

Buzhou Tang

Buzhou Tang

Harbin Institute of Technology

Publications: 10

Xiaolong Wang

Xiaolong Wang

University of California, San Diego

Publications: 10

Jaewoo Kang

Jaewoo Kang

Korea University

Publications: 10

Ralph Grishman

Ralph Grishman

New York University

Publications: 9

Heng Ji

Heng Ji

University of Illinois at Urbana-Champaign

Publications: 9

Ruifeng Xu

Ruifeng Xu

Harbin Institute of Technology

Publications: 8

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