J J Wang

1.8k total citations
28 papers, 1.4k citations indexed

About

J J Wang is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, J J Wang has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ophthalmology, 18 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in J J Wang's work include Retinal Imaging and Analysis (17 papers), Retinal Diseases and Treatments (14 papers) and Retinal and Optic Conditions (11 papers). J J Wang is often cited by papers focused on Retinal Imaging and Analysis (17 papers), Retinal Diseases and Treatments (14 papers) and Retinal and Optic Conditions (11 papers). J J Wang collaborates with scholars based in Australia, Singapore and United States. J J Wang's co-authors include Paul Mitchell, Tien Yin Wong, Wayne Smith, Gerald Liew, Elena Rochtchina, Seang‐Mei Saw, Philip B. Mitchell, Ronald Klein, Ning Cheung and Paul Mitchell and has published in prestigious journals such as Diabetologia, International Journal of Obesity and IEEE Transactions on Medical Imaging.

In The Last Decade

J J Wang

28 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J J Wang Australia 21 990 942 189 179 138 28 1.4k
Jie J. Wang Australia 16 1.0k 1.0× 993 1.1× 201 1.1× 198 1.1× 32 0.2× 25 1.4k
Miho Yasuda Japan 18 1.1k 1.1× 875 0.9× 67 0.4× 316 1.8× 112 0.8× 55 1.6k
Jie Jin Wang Australia 15 1.3k 1.3× 918 1.0× 53 0.3× 321 1.8× 85 0.6× 17 1.7k
James L. Kinyoun United States 23 1.3k 1.3× 932 1.0× 72 0.4× 188 1.1× 116 0.8× 35 2.0k
Vaitheeswaran Kulothungan India 19 619 0.6× 489 0.5× 66 0.3× 153 0.9× 25 0.2× 39 979
Nidhi Talwar United States 21 927 0.9× 500 0.5× 32 0.2× 104 0.6× 69 0.5× 32 1.2k
Chantal Dolan United States 21 1.1k 1.1× 882 0.9× 187 1.0× 276 1.5× 63 0.5× 38 1.9k
Yingyan Ma China 17 472 0.5× 632 0.7× 239 1.3× 425 2.4× 34 0.2× 99 1.1k
W. A. J. van Heuven United States 13 606 0.6× 566 0.6× 37 0.2× 105 0.6× 22 0.2× 28 987
Paul Benitez‐Aguirre Australia 18 364 0.4× 337 0.4× 156 0.8× 30 0.2× 35 0.3× 47 983

Countries citing papers authored by J J Wang

Since Specialization
Citations

This map shows the geographic impact of J J Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J J Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J J Wang more than expected).

Fields of papers citing papers by J J Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J J Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J J Wang. The network helps show where J J Wang may publish in the future.

Co-authorship network of co-authors of J J Wang

This figure shows the co-authorship network connecting the top 25 collaborators of J J Wang. A scholar is included among the top collaborators of J J Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J J Wang. J J Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, J J, Alireza Sharifi, Thippa Reddy Gadekallu, & Achyut Shankar. (2024). MMD-MII Model: A Multilayered Analysis and Multimodal Integration Interaction Approach Revolutionizing Music Emotion Classification. International Journal of Computational Intelligence Systems. 17(1). 6 indexed citations
2.
Gopinath, Bamini, J J Wang, Annette Kifley, et al.. (2013). Influence of blood pressure and body mass index on retinal vascular caliber in preschool-aged children. Journal of Human Hypertension. 27(9). 523–528. 28 indexed citations
3.
Liew, Gerald, Paul Mitchell, Tien Yin Wong, & J J Wang. (2012). Retinal Microvascular Signs Are Associated with Chronic Kidney Disease in Persons with and without Diabetes. Kidney & Blood Pressure Research. 35(6). 589–594. 40 indexed citations
4.
Silva, Deidre Anne De, H.-M. Chang, Christopher Chen, et al.. (2011). The relationship between aortic stiffness and changes in retinal microvessels among Asian ischemic stroke patients. Journal of Human Hypertension. 26(12). 716–722. 18 indexed citations
5.
Flood, Victoria, George Burlutsky, Karen Webb, et al.. (2010). Food and nutrient consumption trends in older Australians: a 10-year cohort study. European Journal of Clinical Nutrition. 64(6). 603–613. 32 indexed citations
6.
Tong, Louis, Samanthila Waduthantri, Tien Yin Wong, et al.. (2010). Impact of symptomatic dry eye on vision-related daily activities: The Singapore Malay Eye Study. Eye. 24(9). 1486–1491. 99 indexed citations
7.
Tanabe, Yusuke, Ryo Kawasaki, J J Wang, et al.. (2009). Angiotensin-converting enzyme gene and retinal arteriolar narrowing: The Funagata Study. Journal of Human Hypertension. 23(12). 788–793. 11 indexed citations
8.
Kanthan, Gowri L., J J Wang, Elena Rochtchina, & Philip B. Mitchell. (2009). Use of antihypertensive medications and topical beta-blockers and the long-term incidence of cataract and cataract surgery. British Journal of Ophthalmology. 93(9). 1210–1214. 26 indexed citations
9.
Sun, Cong, J J Wang, Amirul Islam, et al.. (2009). Hypertension genes and retinal vascular calibre: the Cardiovascular Health Study. Journal of Human Hypertension. 23(9). 578–584. 9 indexed citations
10.
Kawasaki, Ryo, J J Wang, Hidenori Sato, et al.. (2008). Prevalence and associations of epiretinal membranes in an adult Japanese population: the Funagata study. Eye. 23(5). 1045–1051. 69 indexed citations
11.
Liew, Gerald, Tien Yin Wong, Paul Mitchell, Ning Cheung, & J J Wang. (2008). Retinopathy predicts coronary heart disease mortality. Heart. 95(5). 391–394. 93 indexed citations
12.
Lim, Lyndell L., Ning Cheung, J J Wang, et al.. (2008). Prevalence and risk factors of retinal vein occlusion in an Asian population. British Journal of Ophthalmology. 92(10). 1316–1319. 98 indexed citations
13.
14.
Taylor, B., Elena Rochtchina, J J Wang, et al.. (2007). Body mass index and its effects on retinal vessel diameter in 6-year-old children. International Journal of Obesity. 31(10). 1527–1533. 51 indexed citations
15.
Wang, J J, et al.. (2007). Change in health-related quality of life after cataract surgery in a population-based sample. Eye. 22(4). 479–484. 28 indexed citations
16.
Tikellis, Gabriella, J J Wang, Robyn J. Tapp, et al.. (2007). The relationship of retinal vascular calibre to diabetes and retinopathy: the Australian Diabetes, Obesity and Lifestyle (AusDiab) study. Diabetologia. 50(11). 2263–2271. 62 indexed citations
17.
Cugati, Sudha, et al.. (2005). Five-year incidence and progression of vascular retinopathy in persons without diabetes: the Blue Mountains Eye Study. Eye. 20(11). 1239–1245. 48 indexed citations
18.
Leung, F.H.F., J J Wang, Elena Rochtchina, et al.. (2004). Dyslipidaemia and microvascular disease in the retina. Eye. 19(8). 861–868. 54 indexed citations
19.
Rochtchina, Elena, et al.. (2004). Open-angle glaucoma and systemic thyroid disease in an older population: The Blue Mountains Eye Study. Eye. 18(6). 600–608. 41 indexed citations
20.
Wang, J J, et al.. (2000). The measurement of large 3D curved surface. Proceedings of SPIE, the International Society for Optical Engineering. 4221. 201–204. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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