| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Computer Science | 60 | 3225 | 3131 | 1566 | 1508 | 238 | 14961 |
The chart shows the history of publications by Jian Tang between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jian Tang published across 22 years, from 2004 to 2025, averaging 17.5 papers a year. Output peaked at 43 publications in 2022. 59 of the 384 publications appeared in the last two years.
384 publications in total across all disciplines
| Year | Publications |
|---|---|
| 2004 | 3 |
| 2005 | 8 |
| 2006 | 6 |
| 2007 | 3 |
| 2008 | 9 |
| 2009 | 6 |
| 2010 | 11 |
| 2011 | 5 |
| 2012 | 13 |
| 2013 | 10 |
| 2014 | 9 |
| 2015 | 12 |
| 2016 | 16 |
| 2017 | 24 |
| 2018 | 20 |
| 2019 | 24 |
| 2020 | 32 |
| 2021 | 33 |
| 2022 | 43 |
| 2023 | 38 |
| 2024 | 35 |
| 2025 | 24 |
| Total | 384 |
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 Jian Tang sits on this spectrum.
This scientist: 238 publications — 59th percentile
59% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
| 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 | |
| 172–181 | 556 | |
| 182–191 | 583 | |
| 192–201 | 519 | |
| 202–211 | 508 | |
| 212–221 | 490 | |
| 222–231 | 437 | |
| 232–241 | 423 | 238 |
| 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 |
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 Jian Tang sits on this spectrum.
This scientist: 60 D-Index — 78th percentile
78% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
| D-Index | Scientists | This scientist |
|---|---|---|
| 30–31 | 879 | |
| 32–33 | 983 | |
| 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 | 60 |
| 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 |
Jian Tang is affiliated with Syracuse University in the United States and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related subfields.
Their research spans several specific areas within computer science, including:
They have worked on a variety of research topics, with notable focus on:
Jian Tang has published extensively in recognized venues, including:
Recent notable papers include:
Jian Tang has collaborated frequently with several coauthors, including:
Their work has been acknowledged by accolades such as the ACM Distinguished Member award in 2019.
Dejun Yang;Guoliang Xue;Xi Fang;Jian Tang
Jian Tang;Guoliang Xue;Weiyi Zhang
Chi Harold Liu;Zheyu Chen;Jian Tang;Jie Xu
Tianyun Zhang;Shaokai Ye;Kaiqi Zhang;Jian Tang
Jian Tang;Bin Hao;Arunabha Sen
Dejun Yang;Guoliang Xue;Xi Fang;Jian Tang
Zhiyuan Xu;Jian Tang;Jingsong Meng;Weiyi Zhang
Jing Wang;Jian Tang;Zhiyuan Xu;Yanzhi Wang
Chenrui Jin;Jian Tang;Prasanta Ghosh
Ning Liu;Zhe Li;Jielong Xu;Zhiyuan Xu
Chenrui Jin;Jian Tang;P. Ghosh
Zhiyuan Xu;Yanzhi Wang;Jian Tang;Jing Wang
Chi Harold Liu;Xiaoxin Ma;Xudong Gao;Jian Tang
Jielong Xu;Zhenhua Chen;Jian Tang;Sen Su
Caiwen Ding;Siyu Liao;Yanzhi Wang;Zhe Li
Xiang Sheng;Jian Tang;Xuejie Xiao;Guoliang Xue
Satyajayant Misra;Seung Don Hong;Guoliang Xue;Jian Tang
Xiang Zhang;Guoliang Xue;Ruozhou Yu;Dejun Yang
Guoliang Xue;Weiyi Zhang;Jian Tang;Krishnaiyan Thulasiraman
Xiang Sheng;Jian Tang;Weiyi Zhang
Caiwen Ding;Siyu Liao;Yanzhi Wang;Zhe Li
If you think any of the details on this page are incorrect, let us know.
Exploring online education options is a great way to make studying Computer Science in the USA more accessible and affordable. Many students are now turning to cheap online college classes to manage costs while enhancing their skills or earning a degree at their own pace.
Additionally, for those concerned about their academic record, several online graduate schools with low gpa requirements provide pathways into respected programs, making advanced studies more attainable. If you’re eager to kickstart your career quickly, you can also pursue one of the fastest computer science degree programs designed for motivated learners wanting to graduate sooner.
While a background in computer science opens doors to sectors like software development and cybersecurity, interdisciplinary options are growing. For example, merging tech with environmental studies prepares graduates for many jobs for environmental science majors that require technological expertise. No matter your background or focus, the world of online degrees is rich with options to support your career ambitions.
Pennsylvania State University
Michigan State University
Macquarie University
Kyoto University
University of Oxford
National Cheng Kung University
Tel Aviv University
University of Porto
Université du Québec à Chicoutimi
Radboud University
Novartis (Switzerland)
CY Cergy Paris University
RWTH Aachen University
University of Michigan–Ann Arbor
University of California, Merced
ETH Zurich