David Jin
Impact in
- Sensory Systems top 1%
- Olfactory and Sensory Function Studies
Papers in ⓘ
-
- Olfactory and Sensory Function Studies 14
- Food Science 35
- Sensory Analysis and Statistical Methods 32
- Co-authors
- Sara R. Jaeger (38 shared papers)Gastón Ares (16 shared papers)Christina M. Roigard (17 shared papers)Sok L. Chheang (17 shared papers)Armand V. Cardello (7 shared papers)Letícia Vidal (5 shared papers)Denise C. Hunter (9 shared papers)Dongxiao Sun‐Waterhouse (2 shared papers)
- Journals
- Food Quality and Preference (20 papers)Food Research International (7 papers)Journal of Sensory Studies (3 papers)Current Biology (2 papers)Foods (2 papers)
- Partner nations
- New ZealandUruguayDenmark
In The Last Decade
David Jin
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Sensory Systems 299
- Tourism, Leisure and Hospitality Management 82
- Food Science 805
- Nutrition and Dietetics 487
- Human-Computer Interaction 103
Countries citing papers authored by David Jin
This map shows the geographic impact of David Jin'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 David Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Jin more than expected).
Fields of papers citing papers by David Jin
This network shows the impact of papers produced by David Jin. 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 David Jin. The network helps show where David Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside David Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 122 | |
| 2 | 2018 | 100 | |
| 3 | 2015 | 94 | |
| 4 | 2013 | 84 | |
| 5 | 2017 | 69 | |
| 6 | 2013 | 63 | |
| 7 | 2013 | 62 | |
| 8 | 2020 | 62 | |
| 9 | 2015 | 49 | |
| 10 | 2019 | 49 | |
| 11 | 2020 | 48 | |
| 12 | 2018 | 48 | |
| 13 | 2023 | 47 | |
| 14 | 2011 | 34 | |
| 15 | 2017 | 32 | |
| 16 | 2020 | 30 | |
| 17 | 2023 | 29 | |
| 18 | 2017 | 28 | |
| 19 | 2015 | 25 | |
| 20 | 2023 | 22 |
About David Jin
David Jin is a scholar working on Sensory Systems, Food Science, Tourism, Leisure and Hospitality Management, Experimental and Cognitive Psychology and General Energy, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (32 papers), Multisensory perception and integration (16 papers), Biochemical Analysis and Sensing Techniques (14 papers), Olfactory and Sensory Function Studies (14 papers), Color perception and design (8 papers), Agriculture Sustainability and Environmental Impact (5 papers), Organic Food and Agriculture (5 papers) and Postharvest Quality and Shelf Life Management (3 papers). The work is most often cited by research in Sensory Systems (299 citations), Tourism, Leisure and Hospitality Management (82 citations), Food Science (805 citations), Nutrition and Dietetics (487 citations) and Human-Computer Interaction (103 citations). David Jin has collaborated with scholars based in New Zealand, Uruguay and Denmark. Frequent co-authors include Sara R. Jaeger, Gastón Ares, Christina M. Roigard, Sok L. Chheang, Armand V. Cardello, Letícia Vidal, Denise C. Hunter, Dongxiao Sun‐Waterhouse, Geoffrey I. N. Waterhouse and Amy G. Paisley. Their work appears in journals such as Food Quality and Preference, Food Research International, Journal of Sensory Studies, Current Biology and Foods.
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.