Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
943 | 2945 | 30.0 | 62% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
10 | 4 | OPTICS//PHYSICS, PARTICLES & FIELDS//PHYSICS, MULTIDISCIPLINARY | 1131262 |
311 | 3 | SERS//SURFACE ENHANCED RAMAN SCATTERING//CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 40151 |
322 | 2 | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS//NEAR INFRARED SPECTROSCOPY//JOURNAL OF CHEMOMETRICS | 18229 |
943 | 1 | HYPERSPECTRAL IMAGING//BIOSYST ENGN FOOD SCI//SOLUBLE SOLIDS CONTENT | 2945 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | HYPERSPECTRAL IMAGING | authKW | 999297 | 11% | 30% | 326 |
2 | BIOSYST ENGN FOOD SCI | address | 889448 | 11% | 26% | 326 |
3 | SOLUBLE SOLIDS CONTENT | authKW | 513969 | 3% | 54% | 91 |
4 | VIS NIR SPECTROSCOPY | authKW | 324372 | 2% | 48% | 65 |
5 | UNIV DUBLIN | address | 301475 | 3% | 36% | 80 |
6 | RUMENTAT SENSING | address | 236602 | 1% | 53% | 43 |
7 | NIR SPECTROSCOPY | authKW | 198720 | 4% | 16% | 121 |
8 | FRCFT | address | 181910 | 1% | 47% | 37 |
9 | FRCFT GRP | address | 174202 | 1% | 39% | 43 |
10 | FOOD REFRIGERAT COMPUTERIZED FOOD TECHNOL | address | 172772 | 1% | 83% | 20 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Food Science & Technology | 48254 | 46% | 0% | 1368 |
2 | Agricultural Engineering | 20228 | 11% | 1% | 316 |
3 | Spectroscopy | 10920 | 17% | 0% | 503 |
4 | Agriculture, Multidisciplinary | 6751 | 10% | 0% | 303 |
5 | Horticulture | 5676 | 7% | 0% | 218 |
6 | Chemistry, Applied | 3018 | 10% | 0% | 299 |
7 | Engineering, Chemical | 1381 | 10% | 0% | 303 |
8 | Agronomy | 1328 | 6% | 0% | 183 |
9 | Instruments & Instrumentation | 571 | 5% | 0% | 153 |
10 | Computer Science, Interdisciplinary Applications | 549 | 4% | 0% | 127 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | BIOSYST ENGN FOOD SCI | 889448 | 11% | 26% | 326 |
2 | UNIV DUBLIN | 301475 | 3% | 36% | 80 |
3 | RUMENTAT SENSING | 236602 | 1% | 53% | 43 |
4 | FRCFT | 181910 | 1% | 47% | 37 |
5 | FRCFT GRP | 174202 | 1% | 39% | 43 |
6 | FOOD REFRIGERAT COMPUTERIZED FOOD TECHNOL | 172772 | 1% | 83% | 20 |
7 | AGROINGN | 148064 | 1% | 48% | 30 |
8 | CONTEMPORARY FOOD ENGN | 136173 | 1% | 77% | 17 |
9 | BROMATHOL FOOD TECHNOL | 94241 | 0% | 91% | 10 |
10 | BEIJING INTELLIGENT EQUIPMENT AGR | 87893 | 1% | 40% | 21 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | JOURNAL OF NEAR INFRARED SPECTROSCOPY | 171274 | 4% | 15% | 113 |
2 | JOURNAL OF FOOD ENGINEERING | 105753 | 9% | 4% | 274 |
3 | SPECTROSCOPY AND SPECTRAL ANALYSIS | 89348 | 10% | 3% | 297 |
4 | POSTHARVEST BIOLOGY AND TECHNOLOGY | 77740 | 5% | 5% | 153 |
5 | COMPUTERS AND ELECTRONICS IN AGRICULTURE | 56646 | 4% | 5% | 116 |
6 | FOOD AND BIOPROCESS TECHNOLOGY | 37950 | 3% | 5% | 81 |
7 | MEAT SCIENCE | 24203 | 4% | 2% | 122 |
8 | TRANSACTIONS OF THE ASABE | 22664 | 2% | 3% | 70 |
9 | BIOSYSTEMS ENGINEERING | 15928 | 2% | 3% | 60 |
10 | TRANSACTIONS OF THE ASAE | 15157 | 3% | 1% | 100 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | NICOLAI, BM , BEULLENS, K , BOBELYN, E , PEIRS, A , SAEYS, W , THERON, KI , LAMMERTYN, J , (2007) NONDESTRUCTIVE MEASUREMENT OF FRUIT AND VEGETABLE QUALITY BY MEANS OF NIR SPECTROSCOPY: A REVIEW.POSTHARVEST BIOLOGY AND TECHNOLOGY. VOL. 46. ISSUE 2. P. 99 -118 | 107 | 80% | 527 |
2 | ZHANG, BH , HUANG, WQ , LI, JB , ZHAO, CJ , FAN, SX , WU, JT , LIU, CL , (2014) PRINCIPLES, DEVELOPMENTS AND APPLICATIONS OF COMPUTER VISION FOR EXTERNAL QUALITY INSPECTION OF FRUITS AND VEGETABLES: A REVIEW.FOOD RESEARCH INTERNATIONAL. VOL. 62. ISSUE . P. 326 -343 | 97 | 86% | 29 |
3 | PU, YY , FENG, YZ , SUN, DW , (2015) RECENT PROGRESS OF HYPERSPECTRAL IMAGING ON QUALITY AND SAFETY INSPECTION OF FRUITS AND VEGETABLES: A REVIEW.COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY. VOL. 14. ISSUE 2. P. 176 -188 | 87 | 89% | 13 |
4 | LORENTE, D , ALEIXOS, N , GOMEZ-SANCHIS, J , CUBERO, S , GARCIA-NAVARRETE, OL , BLASCO, J , (2012) RECENT ADVANCES AND APPLICATIONS OF HYPERSPECTRAL IMAGING FOR FRUIT AND VEGETABLE QUALITY ASSESSMENT.FOOD AND BIOPROCESS TECHNOLOGY. VOL. 5. ISSUE 4. P. 1121 -1142 | 76 | 83% | 141 |
5 | PENG, Y , DHAKAL, S , (2015) OPTICAL METHODS AND TECHNIQUES FOR MEAT QUALITY INSPECTION.TRANSACTIONS OF THE ASABE. VOL. 58. ISSUE 5. P. 1371 -1386 | 120 | 73% | 0 |
6 | KAMRUZZAMAN, M , MAKINO, Y , OSHITA, S , (2015) NON-INVASIVE ANALYTICAL TECHNOLOGY FOR THE DETECTION OF CONTAMINATION, ADULTERATION, AND AUTHENTICITY OF MEAT, POULTRY, AND FISH: A REVIEW.ANALYTICA CHIMICA ACTA. VOL. 853. ISSUE . P. 19 -29 | 78 | 92% | 12 |
7 | WU, D , SUN, DW , (2013) ADVANCED APPLICATIONS OF HYPERSPECTRAL IMAGING TECHNOLOGY FOR FOOD QUALITY AND SAFETY ANALYSIS AND ASSESSMENT: A REVIEW - PART II: APPLICATIONS.INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES. VOL. 19. ISSUE . P. 15 -28 | 88 | 75% | 46 |
8 | ELMASRY, G , KAMRUZZAMAN, M , SUN, DW , ALLEN, P , (2012) PRINCIPLES AND APPLICATIONS OF HYPERSPECTRAL IMAGING IN QUALITY EVALUATION OF AGRO-FOOD PRODUCTS: A REVIEW.CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION. VOL. 52. ISSUE 11. P. 999 -1023 | 97 | 73% | 43 |
9 | HUANG, H , LIU, L , NGADI, MO , (2014) RECENT DEVELOPMENTS IN HYPERSPECTRAL IMAGING FOR ASSESSMENT OF FOOD QUALITY AND SAFETY.SENSORS. VOL. 14. ISSUE 4. P. 7248-7276 | 78 | 81% | 30 |
10 | WANG, HL , PENG, JY , XIE, CQ , BAO, YD , HE, Y , (2015) FRUIT QUALITY EVALUATION USING SPECTROSCOPY TECHNOLOGY: A REVIEW.SENSORS. VOL. 15. ISSUE 5. P. 11889 -11927 | 82 | 82% | 9 |
Classes with closest relation at Level 1 |