| Literature review: Theory and application of in-line inspection technologies for oil and gas pipeline girth weld defection Q Feng, R Li, B Nie, S Liu, L Zhao, H Zhang Sensors 17 (1), 50, 2016 | 118 | 2016 |
| Analysis and comparison of long‐distance pipeline failures L Dai, D Wang, T Wang, Q Feng, X Yang Journal of Petroleum Engineering 2017 (1), 3174636, 2017 | 73 | 2017 |
| Failure analysis and simulation model of pinhole corrosion of the refined oil pipeline Q Feng, B Yan, P Chen, SA Shirazi Engineering Failure Analysis 106, 104177, 2019 | 41 | 2019 |
| Probabilistic assessment of external corrosion rates in buried oil and gas pipelines S Jain, AN Sánchez, S Guan, S Wu, F Ayello, N Sridhar, Q Feng, BC Yan NACE CORROSION, NACE-2015-5529, 2015 | 31 | 2015 |
| Current status and prospect of inline inspection technologies for defects in girth weld of oil and gas pipeline T Wang, H Yang, Q Feng, L Zhou, F Wang, X Xiang Oil Gas Storage Transp 34 (7), 694-698, 2015 | 28 | 2015 |
| Technologies and application of pipeline centerline and bending strain of In-line inspection based on inertial navigation R Li, M Cai, Y Shi, Q Feng, P Chen Transactions of the Institute of Measurement and Control 40 (5), 1554-1567, 2018 | 24 | 2018 |
| Application of MFL on girth-weld defect detection of oil and gas pipelines LS Dai, QS Feng, J Sutherland, T Wang, SY Sha, FX Wang, DP Wang Journal of Pipeline Systems Engineering and Practice 11 (4), 04020047, 2020 | 20 | 2020 |
| Bayesian survival analysis model for girth weld failure prediction Q Feng, S Sha, L Dai Applied Sciences 9 (6), 1150, 2019 | 18 | 2019 |
| Measurement of long-distance buried pipeline centerline based on multi-sensor data fusion R Li, Q Feng, M Cai, H Li, H Zhang, C Liu, X Zhao Acta Petrolei Sinica 35 (5), 987, 2014 | 18* | 2014 |
| High-precision diameter detector and three-dimensional reconstruction method for oil and gas pipelines Y Shi, L Hao, M Cai, Y Wang, J Yao, R Li, Q Feng, Y Li Journal of Petroleum Science and Engineering 165, 842-849, 2018 | 17 | 2018 |
| Pipeline bending strain measurement and compensation technology based on wavelet neural network R Li, M Cai, Y Shi, Q Feng, S Liu, X Zhao Journal of Sensors 2016 (1), 8363242, 2016 | 17 | 2016 |
| Three-axis high-resolution MFL internal inspection technology for in-service pipeline Q Feng Oil Gas Storage Transp 28, 72-75, 2009 | 14 | 2009 |
| Research on burst tests of pipeline with spiral weld defects J Chen, Q Feng, F Wang, H Zhang, H Song International Pipeline Conference 45141, 53-60, 2012 | 13 | 2012 |
| Full-scale experimental investigation of the fracture behaviours of welding joints of APL X80 wide plate based on DIC technology Y Yang, X Liu, K Wu, Y Sui, Q Feng, D Wang, H Zhang Engineering Failure Analysis 131, 105832, 2022 | 12 | 2022 |
| Application progress of tri-axial MFL sensors technology F Wang, Q Feng, L Zhou ICPTT 2011: Sustainable Solutions For Water, Sewer, Gas, And Oil Pipelines …, 2011 | 12 | 2011 |
| Application of USCCD on girth weld defect detection of oil pipelines LS Dai, QS Feng, XQ Xiang, J Sutherland, T Wang, DP Wang, ZJ Wang Applied Sciences 10 (8), 2736, 2020 | 11 | 2020 |
| Modeling and calculation of dent based on pipeline bending strain Q Feng, R Li, H Zhang Journal of Sensors 2016 (1), 8126214, 2016 | 11 | 2016 |
| Evolution of triax magnetic flux leakage inspection for mitigation of spiral weld anomalies Q Feng, J Sutherland, B Gu, Y Wei, C Tao International Pipeline Conference 44205, 209-216, 2010 | 11 | 2010 |
| Identification of Pipeline Features via Tri-Axial Magnetic Flux Leakage Technology for In-Line Inspection. Nondestruct F Wang, Q Feng, H Zhang, H Song, J Chen Test 33, 79-84, 2011 | 10 | 2011 |
| The triaxial magnetic flux leakage signal analysis of spiral weld roof topping and hi-low defects QS Feng, HC Song, XL Wang, FX Wang Nondestructive testing 31 (5), 340-344, 2009 | 10 | 2009 |
