mlsanityData to 7 Oct 2026

One Venue, Two Conferences: The Separation of Chinese and American Citation Networks

arXiv 2211.12424 ↗First posted 17 Nov 2022cs.DL cs.LGcited by 1

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Abstract (arXiv)

At NeurIPS, American and Chinese institutions cite papers from each other's regions substantially less than they cite endogamously. We build a citation graph to quantify this divide, compare it to European connectivity, and discuss the causes and consequences of the separation.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 10 of its 20 references that are in the map. First posted on arXiv 17 Nov 2022.

Builds on

10 of 20 references.

References · 10

  1. 2016Performance Measures and a Data Set for Multi-Target, Multi-Camera Trackingcited by 685
  2. 2021TransReID: Transformer-based Object Re-Identificationcited by 432
  3. 2017Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitrocited by 280
  4. 2014PCANet: A Simple Deep Learning Baseline for Image Classification?cited by 70
  5. 2019Unsupervised Tracklet Person Re-Identificationcited by 55
  6. 2021Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLPcited by 47
  7. 2017Deep Forestcited by 46
  8. 2020PANDA: A Gigapixel-level Human-centric Video Datasetcited by 45
  9. 2022Large-Scale Pre-training for Person Re-identification with Noisy Labelscited by 41
  10. 2022Geographic Citation Gaps in NLP Researchcited by 19

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Cited by year

Citing papers per year: 2023: 1.

1 paper.