Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Mengyu Wang, Ph.D.

Co-Author

This page shows the publications co-authored by Mengyu Wang and Tobias Elze.
Connection Strength

10.635
  1. An Artificial Intelligence Approach to Assess Spatial Patterns of Retinal Nerve Fiber Layer Thickness Maps in Glaucoma. Transl Vis Sci Technol. 2020 08; 9(9):41.
    View in: PubMed
    Score: 0.891
  2. Characterization of Central Visual Field Loss in End-stage Glaucoma by Unsupervised Artificial Intelligence. JAMA Ophthalmol. 2020 02 01; 138(2):190-198.
    View in: PubMed
    Score: 0.857
  3. Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma. Ophthalmology. 2020 06; 127(6):731-738.
    View in: PubMed
    Score: 0.849
  4. An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis. Invest Ophthalmol Vis Sci. 2019 01 02; 60(1):365-375.
    View in: PubMed
    Score: 0.795
  5. Reply. Ophthalmology. 2018 09; 125(9):e66-e67.
    View in: PubMed
    Score: 0.775
  6. Quantifying positional variation of retinal blood vessels in glaucoma. PLoS One. 2018; 13(3):e0193555.
    View in: PubMed
    Score: 0.752
  7. The Interrelationship between Refractive Error, Blood Vessel Anatomy, and Glaucomatous Visual Field Loss. Transl Vis Sci Technol. 2018 Jan; 7(1):4.
    View in: PubMed
    Score: 0.744
  8. Ametropia, retinal anatomy, and OCT abnormality patterns in glaucoma. 1. Impacts of refractive error and interartery angle. J Biomed Opt. 2017 Dec; 22(12):1-11.
    View in: PubMed
    Score: 0.737
  9. Reversal of Glaucoma Hemifield Test Results and Visual Field Features in Glaucoma. Ophthalmology. 2018 03; 125(3):352-360.
    View in: PubMed
    Score: 0.733
  10. Impact of Natural Blind Spot Location on Perimetry. Sci Rep. 2017 07 21; 7(1):6143.
    View in: PubMed
    Score: 0.719
  11. Relationship Between Central Retinal Vessel Trunk Location and Visual Field Loss in Glaucoma. Am J Ophthalmol. 2017 Apr; 176:53-60.
    View in: PubMed
    Score: 0.693
  12. The Effect of Ametropia on Glaucomatous Visual Field Loss. J Clin Med. 2021 Jun 25; 10(13).
    View in: PubMed
    Score: 0.236
  13. Predicting Global Test-Retest Variability of Visual Fields in Glaucoma. Ophthalmol Glaucoma. 2021 Jul-Aug; 4(4):390-399.
    View in: PubMed
    Score: 0.227
  14. Inter-Eye Association of Visual Field Defects in Glaucoma and Its Clinical Utility. Transl Vis Sci Technol. 2020 11; 9(12):22.
    View in: PubMed
    Score: 0.226
  15. Norms of Interocular Circumpapillary Retinal Nerve Fiber Layer Thickness Differences at 768 Retinal Locations. Transl Vis Sci Technol. 2020 08; 9(9):23.
    View in: PubMed
    Score: 0.222
  16. Sex-Specific Differences in Circumpapillary Retinal Nerve Fiber Layer Thickness. Ophthalmology. 2020 03; 127(3):357-368.
    View in: PubMed
    Score: 0.209
  17. Predicting Refractive Outcome of Small Incision Lenticule Extraction for Myopia Using Corneal Properties. Transl Vis Sci Technol. 2018 Sep; 7(5):11.
    View in: PubMed
    Score: 0.195
  18. Ametropia, retinal anatomy, and OCT abnormality patterns in glaucoma. 2. Impacts of optic nerve head parameters. J Biomed Opt. 2017 Dec; 22(12):1-9.
    View in: PubMed
    Score: 0.184
  19. Age, ocular magnification, and circumpapillary retinal nerve fiber layer thickness. J Biomed Opt. 2017 12; 22(12):1-19.
    View in: PubMed
    Score: 0.184
  20. Associations between Optic Nerve Head-Related Anatomical Parameters and Refractive Error over the Full Range of Glaucoma Severity. Transl Vis Sci Technol. 2017 Jul; 6(4):9.
    View in: PubMed
    Score: 0.180
  21. Renal function and lipid metabolism are major predictors of circumpapillary retinal nerve fiber layer thickness-the LIFE-Adult Study. BMC Med. 2021 09 07; 19(1):202.
    View in: PubMed
    Score: 0.060
  22. Estimating the Severity of Visual Field Damage From Retinal Nerve Fiber Layer Thickness Measurements With Artificial Intelligence. Transl Vis Sci Technol. 2021 08 02; 10(9):16.
    View in: PubMed
    Score: 0.059
  23. Monitoring Glaucomatous Functional Loss Using an Artificial Intelligence-Enabled Dashboard. Ophthalmology. 2020 09; 127(9):1170-1178.
    View in: PubMed
    Score: 0.054
  24. The impact of artificial intelligence in the diagnosis and management of glaucoma. Eye (Lond). 2020 01; 34(1):1-11.
    View in: PubMed
    Score: 0.052
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.