Chun‐Chieh Yang

63 papers receiving 886 citations

Peers

Chun‐Chieh Yang
Comparison fields: 5 of 109
  • Analytical Chemistry 359
  • Environmental Engineering 144
  • Biophysics 54
  • Animal Science and Zoology 81
  • Plant Science 283
Replace Samsuzana Abd Aziz with:
Samsuzana Abd Aziz Malaysia
Ginés Garcı́a-Mateos Spain
Gopal Chandra Paul United Kingdom
Siti Khairunniza Bejo Malaysia
Qian Sun China
Jinglu Tan United States
Yao Zhang China
Junfeng Gao China
Hui Fang China
Chun‐Chieh Yang relative to Samsuzana Abd Aziz Malaysia Samsuzana Abd Aziz's profile →
Citations per field
00.5×1.5×1.9×
Samsuzana Abd Aziz · 1×
Citations per year

Countries citing papers authored by Chun‐Chieh Yang

Since Specialization
Citations

This map shows the geographic impact of Chun‐Chieh Yang'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 Chun‐Chieh Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Chieh Yang more than expected).

Fields of papers citing papers by Chun‐Chieh Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Chieh Yang. 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 Chun‐Chieh Yang. The network helps show where Chun‐Chieh Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Chun‐Chieh Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chun‐Chieh Yang Line = papers co-authored together Chun‐Chieh Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200397
2
Application of artificial neural networks in image recognition and classification of crop and weeds
200080
3 201755
4 199751
5 200351
6 200749
7
Recognition of weeds with image processing and their use with fuzzy logic for precision farming
200038
8 200338
9 200436
10 201131
11 199730
12 200329
13 200929
14 200628
15 200622
16 201422
17 200522
18 200821
19 200716
20 200215

About Chun‐Chieh Yang

Chun‐Chieh Yang is a scholar working on Analytical Chemistry, Molecular Biology, Hardware and Architecture, Plant Science and Computer Networks and Communications, having authored 67 papers that have together received 977 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (30 papers), Parallel Computing and Optimization Techniques (10 papers), Listeria monocytogenes in Food Safety (8 papers), Identification and Quantification in Food (7 papers), Hydrology and Watershed Management Studies (6 papers), Smart Agriculture and AI (6 papers), Hydrological Forecasting Using AI (6 papers) and Animal Nutrition and Physiology (5 papers). The work is most often cited by research in Analytical Chemistry (359 citations), Environmental Engineering (144 citations), Biophysics (54 citations), Animal Science and Zoology (81 citations) and Plant Science (283 citations). Chun‐Chieh Yang has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Shiv O. Prasher, Kuanglin Chao, Moon S. Kim, Yud-Ren Chen, R. Lacroix, Diane E. Chan, Hosahalli S. Ramaswamy, Pradeep Goel, Alan M. Lefcourt and Byoung–Kwan Cho. Their work appears in journals such as Canadian Water Resources Journal / Revue canadienne des ressources hydriques, Biosystems Engineering, Computers and Electronics in Agriculture, Journal of Food Engineering and Journal of Systems Architecture.

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.

Explore authors with similar magnitude of impact