Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
17573 | 592 | 19.7 | 33% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
18 | 4 | THERMODYNAMICS//ENERGY & FUELS//ENGINEERING, CHEMICAL | 531182 |
356 | 3 | ANNALS OF NUCLEAR ENERGY//NUCLEAR SCIENCE & TECHNOLOGY//JOURNAL OF NUCLEAR MATERIALS | 34901 |
368 | 2 | ANNALS OF NUCLEAR ENERGY//NUCLEAR SCIENCE AND ENGINEERING//NUCLEAR SCIENCE & TECHNOLOGY | 17291 |
17573 | 1 | TRANSIENT IDENTIFICATION//SIGNAL VALIDATION//DEPARTURE FROM NUCLEATE BOILING RATIO DNBR | 592 |
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 | TRANSIENT IDENTIFICATION | authKW | 571332 | 2% | 92% | 12 |
2 | SIGNAL VALIDATION | authKW | 396755 | 2% | 77% | 10 |
3 | DEPARTURE FROM NUCLEATE BOILING RATIO DNBR | authKW | 206315 | 1% | 100% | 4 |
4 | AMS TECHNOL | address | 168798 | 1% | 55% | 6 |
5 | PL PHYS NAT OURCES | address | 161180 | 1% | 63% | 5 |
6 | NUCLEAR TRANSIENTS | authKW | 154736 | 1% | 100% | 3 |
7 | AUTO ASSOCIATIVE KERNEL REGRESSION | authKW | 137541 | 1% | 67% | 4 |
8 | TURBINE CYCLE | authKW | 137541 | 1% | 67% | 4 |
9 | INITIATING EVENT | authKW | 117891 | 1% | 57% | 4 |
10 | OPERATOR SUPPORT SYSTEM | authKW | 117219 | 1% | 45% | 5 |
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 | Nuclear Science & Technology | 36620 | 72% | 0% | 428 |
2 | Computer Science, Artificial Intelligence | 499 | 8% | 0% | 48 |
3 | Engineering, Electrical & Electronic | 464 | 18% | 0% | 109 |
4 | Automation & Control Systems | 224 | 4% | 0% | 26 |
5 | Operations Research & Management Science | 150 | 4% | 0% | 24 |
6 | Engineering, General | 129 | 4% | 0% | 24 |
7 | Engineering, Industrial | 73 | 2% | 0% | 13 |
8 | Instruments & Instrumentation | 49 | 4% | 0% | 22 |
9 | Computer Science, Interdisciplinary Applications | 23 | 2% | 0% | 14 |
10 | Engineering, Mechanical | 18 | 3% | 0% | 16 |
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 | AMS TECHNOL | 168798 | 1% | 55% | 6 |
2 | PL PHYS NAT OURCES | 161180 | 1% | 63% | 5 |
3 | PROGRAMA POS CIENCIA TECNOL NUCL | 116051 | 1% | 75% | 3 |
4 | CNENBH | 103158 | 0% | 100% | 2 |
5 | REACTOR PERFORMANCE MONITORING SECT | 103158 | 0% | 100% | 2 |
6 | HALDEN REACTOR PROJECT | 93596 | 1% | 26% | 7 |
7 | AMERPREM GRP | 92839 | 1% | 60% | 3 |
8 | REACTOR CONTROL SYST DESIGN SECT | 91691 | 1% | 44% | 4 |
9 | GRP ADV REACTOR SYST | 68770 | 0% | 67% | 2 |
10 | SCI TECHNOL REACTOR SYST DESIGN TECHNOL | 63468 | 1% | 15% | 8 |
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 | ANNALS OF NUCLEAR ENERGY | 81194 | 16% | 2% | 95 |
2 | NUCLEAR TECHNOLOGY | 80891 | 14% | 2% | 84 |
3 | PROGRESS IN NUCLEAR ENERGY | 60298 | 9% | 2% | 54 |
4 | IEEE TRANSACTIONS ON NUCLEAR SCIENCE | 16070 | 12% | 0% | 72 |
5 | NUCLEAR ENGINEERING AND TECHNOLOGY | 15993 | 3% | 2% | 16 |
6 | NUCLEAR SCIENCE AND ENGINEERING | 14682 | 5% | 1% | 31 |
7 | NUCLEAR ENGINEERING AND DESIGN | 8833 | 7% | 0% | 40 |
8 | ENERGIA ES ATOMTECHNIKA | 5729 | 0% | 11% | 1 |
9 | NUCLEAR SAFETY | 4347 | 1% | 1% | 6 |
10 | RELIABILITY ENGINEERING & SYSTEM SAFETY | 1465 | 2% | 0% | 11 |
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 | GHOFRANI, MB , MOSHKBAR-BAKHSHAYESH, K , (2013) TRANSIENT IDENTIFICATION IN NUCLEAR POWER PLANTS: A REVIEW.PROGRESS IN NUCLEAR ENERGY. VOL. 67. ISSUE . P. 23 -32 | 34 | 72% | 11 |
2 | SAGHAFI, M , GHOFRANI, MB , (2016) ACCIDENT MANAGEMENT SUPPORT TOOLS IN NUCLEAR POWER PLANTS: A POST-FUKUSHIMA REVIEW.PROGRESS IN NUCLEAR ENERGY. VOL. 92. ISSUE . P. 1 -14 | 28 | 56% | 0 |
3 | CHANG, Y , HUANG, XJ , HAO, Y , LI, CW , (2013) LINEAR REPRESENTATION AND SPARSE SOLUTION FOR TRANSIENT IDENTIFICATION IN NUCLEAR POWER PLANTS.IEEE TRANSACTIONS ON NUCLEAR SCIENCE. VOL. 60. ISSUE 1. P. 319-327 | 23 | 68% | 0 |
4 | LIN, C , CHANG, HJ , (2011) IDENTIFICATION OF PRESSURIZED WATER REACTOR TRANSIENT USING TEMPLATE MATCHING.ANNALS OF NUCLEAR ENERGY. VOL. 38. ISSUE 7. P. 1662 -1666 | 15 | 100% | 7 |
5 | MO, K , LEE, SJ , SEONG, PH , (2007) A DYNAMIC NEURAL NETWORK AGGREGATION MODEL FOR TRANSIENT DIAGNOSIS IN NUCLEAR POWER PLANTS.PROGRESS IN NUCLEAR ENERGY. VOL. 49. ISSUE 3. P. 262-272 | 18 | 90% | 13 |
6 | HSIAO, TY , LIN, C , (2012) IDENTIFICATION OF INITIATING EVENTS FOR PRESSURIZED WATER REACTOR ACCIDENTS USING A PROBABILISTIC APPROACH.PROGRESS IN NUCLEAR ENERGY. VOL. 60. ISSUE . P. 146 -152 | 13 | 100% | 0 |
7 | MOSHKBAR-BAKHSHAYESH, K , GHOFRANI, MB , (2014) DEVELOPMENT OF A ROBUST IDENTIFIER FOR NPPS TRANSIENTS COMBINING ARIMA MODEL AND EBP ALGORITHM.IEEE TRANSACTIONS ON NUCLEAR SCIENCE. VOL. 61. ISSUE 4. P. 2383 -2391 | 14 | 88% | 1 |
8 | KIM, DY , YOO, KH , CHOI, GP , BACK, JH , NA, MG , (2016) REACTOR VESSEL WATER LEVEL ESTIMATION DURING SEVERE ACCIDENTS USING CASCADED FUZZY NEURAL NETWORKS.NUCLEAR ENGINEERING AND TECHNOLOGY. VOL. 48. ISSUE 3. P. 702 -710 | 14 | 82% | 0 |
9 | KIM, DY , KIM, JH , YOO, KH , NA, MG , (2015) PREDICTION OF HYDROGEN CONCENTRATION IN CONTAINMENT DURING SEVERE ACCIDENTS USING FUZZY NEURAL NETWORK.NUCLEAR ENGINEERING AND TECHNOLOGY. VOL. 47. ISSUE 2. P. 139 -147 | 13 | 87% | 1 |
10 | LEE, SW , KIM, DS , NA, MG , (2010) PREDICTION OF DNBR USING FUZZY SUPPORT VECTOR REGRESSION AND UNCERTAINTY ANALYSIS.IEEE TRANSACTIONS ON NUCLEAR SCIENCE. VOL. 57. ISSUE 3. P. 1595-1601 | 12 | 100% | 5 |
Classes with closest relation at Level 1 |