Who Cited It

Peter J. Liu

medium confidence · 3 work(s) in this corpus · 8,386 citations across 23 works in OpenAlex

Peter J. LiuPeter J. LiuColin Raffel — 1 shared work(s)Colin RaffelAbigail See — 1 shared work(s)Abigail SeeChristopher D. Manning — 1 shared work(s)Christopher D. ManningNoam Shazeer — 1 shared work(s)Noam ShazeerAdam Roberts — 1 shared work(s)Adam RobertsKatherine Lee — 1 shared work(s)Katherine LeeSharan Narang — 1 shared work(s)Sharan NarangMichael Matena — 1 shared work(s)Michael MatenaYanqi Zhou — 1 shared work(s)Yanqi ZhouWei Li — 1 shared work(s)Wei LiAlvin Rajkomar — 1 shared work(s)Alvin RajkomarJay B. Dean — 1 shared work(s)Jay B. DeanEyal Oren — 1 shared work(s)Eyal OrenKai Chen — 1 shared work(s)Kai ChenAndrew M. Dai — 1 shared work(s)Andrew M. DaiMichaela Hardt — 1 shared work(s)Michaela HardtXiaobing Liu — 1 shared work(s)Xiaobing LiuJake Marcus — 1 shared work(s)Jake MarcusMimi Sun — 1 shared work(s)Mimi SunPatrik Sundberg — 1 shared work(s)Patrik SundbergHector Yee — 1 shared work(s)Hector YeeKun Zhang — 1 shared work(s)Kun ZhangYi Zhang — 1 shared work(s)Yi ZhangGerardo Flores — 1 shared work(s)Gerardo Flores
24 of 40 collaborators, ranked by collaboration weight rather than by shared-paper count. Dashed lines are collaborations between the collaborators. See how the weight is computed.
  1. Colin Raffel
  2. Abigail See
  3. Christopher D. Manning
  4. Noam Shazeer
  5. Adam Roberts
  6. Katherine Lee
  7. Sharan Narang
  8. Michael Matena
  9. Yanqi Zhou
  10. Wei Li
  11. Alvin Rajkomar
  12. Jay B. Dean
  13. Eyal Oren
  14. Kai Chen
  15. Andrew M. Dai
  16. Michaela Hardt
  17. Xiaobing Liu
  18. Jake Marcus
  19. Mimi Sun
  20. Patrik Sundberg
  21. Hector Yee
  22. Kun Zhang
  23. Yi Zhang
  24. Gerardo Flores
Peter J. Liu collaborator line weight = collaboration weight

Works in this corpus

TitlePositionYearCited
Exploring the Limits of Transfer Learning with a Unified Text-to-Text\n Transformerlast20198,346
Get To The Point: Summarization with Pointer-Generator Networksmiddle20173,935
Scalable and accurate deep learning with electronic health recordsmiddle20182,398

Is this one person?

This record is probably one person, but at least one signal is weak. Check the evidence below before relying on the totals.

  • neutralNo ORCID on this record, so its identity rests on inference alone.
  • supports2 distinct name form(s) across this row's works, counting a spelled-out given name and its initial as one form.
  • supportsAt most 1 distinct institution(s) inside any five-year window, which is a normal career.
  • supports78% of this row's works sit in its single largest field.
  • neutralConfidence is judged on the 3 work(s) this corpus holds, not on the author's whole output. A single-work row carries little evidence either way.

Affiliations

Google (United States) (2017–2018)

In this corpus

h-index 3 over the works held here, which is a number about this corpus and not about a career.

OpenAlex record