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An Online Mindfulness Program for Teachers: A Feasibility Study of the DeStress Monday at School Program

Mendelson, T., Webb, L., Artola, A., Molinaro, M., & Sibinga, E. M. (2023) · Mindfulness · doi:10.1007/s12671-023-02142-3 · Cited by 16

Excess Mortality Risks in Institutions: The Influence of Health and Disability Status

Herm, A., Poulain, M., & Anson, J. (2014) · European studies of population · doi:10.1007/978-3-319-03029-6_10 · Cited by 10

SCAN: an approach to label and relate execution trace segments

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Reliably discriminating stock structure with genetic markers: Mixture models with robust and fast computation

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Lifestyle, Behavioral, and Dietary Risk Factors in Relation to Mammographic Breast Density in Women at High Risk for Breast Cancer

Ahern, T. P., Sprague, B. L., Farina, N. H., Tsai, E., Cuke, M. E., Despina Kontos, B., & Wood, M. E. (2021) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-20-1567 · Cited by 9

A full spectral analysis method for the gamma spectrum: weighted library least squares

Sun, A., Jia, W., Hei, D., Qiu, M., Cheng, C., & Li, J. (2021) · Analytical Methods · doi:10.1039/d1ay01319j · Cited by 9

Tracking the settlement patterns of culturally and linguistically diverse (CALD) populations in Australia: A census-based study from 2001 to 2021

Wang, S., Sun, Q. C., Martin, C., Cai, W., Liu, Y., Duckham, M., Hurley, J., Amati, M., & Choy, S. (2023) · Cities · doi:10.1016/j.cities.2023.104482 · Cited by 9

Energy Demand in AR Applications—A Reverse Ablation Study of the HoloLens 2 Device

Skurowski, P., Myszor, D., Paszkuta, M., Moroń, T., & Cyran, K. A. (2024) · Energies · doi:10.3390/en17030553 · Cited by 9

DeepMig: A transformer-based approach to support coupled library and code migrations

Rocco, J. D., Nguyen, P. T., Sipio, C. D., Rubei, R., Ruscio, D. D., & Penta, M. D. (2024) · Information and Software Technology · doi:10.1016/j.infsof.2024.107588 · Cited by 13

Machine learning based on a swarm intelligence algorithm and explainable AI for the prediction of reservoir temperature

Zhang, J., Xiao, C., Liang, X., Yang, W., Zhang, F., Zhang, L., Dai, R., Li, W., & Ni, H. (2025) · Energy · doi:10.1016/j.energy.2025.139412 · Cited by 9

Suspended sediment load prediction using hybrid bagging-based heuristic search algorithm

Mamun, A. A., Islam, A. R. M. T., Khosravi, K., & Singh, S. K. (2022) · Geocarto International · doi:10.1080/10106049.2022.2122590 · Cited by 9

Cell types and synchronous-activity patterns of inspiratory neurons in the preBötzinger complex of mouse medullary slices during early postnatal development

Oke, Y., Miwakeichi, F., Oku, Y., Hirrlinger, J., & Hülsmann, S. (2023) · Scientific Reports · doi:10.1038/s41598-023-27893-w · Cited by 9

Discriminating geographical origins and determining active substances of water caltrop shells through near-infrared spectroscopy and chemometrics

Li, R., Liu, Y., Xia, Z., Wang, Q., Liu, X., & Gong, Z. (2023) · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2023.123198 · Cited by 9

Modeling the Time Spent at Points of Interest Based on Google Popular Times

Mahdi, A. J., Tettamanti, T., & Esztergár‐Kiss, D. (2023) · IEEE Access · doi:10.1109/access.2023.3305957 · Cited by 9

Ultra-Stable Tunable THz System for 6G Communication Based on Photonics

Eichler, T., Puppe, T., Müller, S., Noack, T., Deumer, M., Nellen, S., Mayzlin, Y., Riedmann, N., Liebermeister, L., Wilk, R., et al. (2023) · European Microwave Conference (EuMC) · doi:10.23919/eumc58039.2023.10290656 · Cited by 9

Is the h-Index Enough? A Comprehensive Bibliometric Analysis of 871 Academic Plastic Surgeons and Their Departments/Divisions

Persad‐Paisley, E. M., Gopal, J. R., Menville, J. E., Baranwal, N., McIntire, D. R. T., Zeyl, V. G., & Kalliainen, L. K. (2024) · Annals of Plastic Surgery · doi:10.1097/sap.0000000000003775 · Cited by 9

Constraining the onset of orogenic contraction in fold-and-thrust belts using sedimentary stylolite populations (Umbria-Marche Apennines, Italy)

Labeur, A., Beaudoin, N. E., Olivier Lacombe, F., Gout, C., & Callot, J. (2024) · Journal of Structural Geology · doi:10.1016/j.jsg.2024.105098 · Cited by 9

Odds and Insights: Decision Quality in Exploratory Data Analysis Under Uncertainty

Sarma, A., Pu, X., Cui, Y., Correll, M., Brown, E. T., & Kay, M. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641995 · Cited by 9

Machine learning models of intermittent operation of RO wellhead water treatment for salinity reduction and nitrate removal

Zhou, Y., Marki, N., Khan, B., Aguilar, C., Jarma, Y. A., & Cohen, Y. (2024) · Desalination · doi:10.1016/j.desal.2024.117951 · Cited by 9

Electric Field Cycling of Physisorbed Antibodies Reduces Biolayer Polarization Dispersion

Franco, C. D., Macchia, E., Catacchio, M., Caputo, M., Scandurra, C., Sarcina, L., Bollella, P., Tricase, A., Innocenti, M., Funari, R., et al. (2024) · Advanced Science · doi:10.1002/advs.202412347 · Cited by 9

Exploiting Semantic Information for Graph-Based Recommendations of Learning Resources

Anjorin, M., Rodenhausen, T., García, R. D., & Rensing, C. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33263-0_2 · Cited by 9

Outlier Detection Method for Mobile Banking with User Input Pattern and E-finance Transaction Pattern

Min, H. Y., Park, J. H., Lee, D. H., & Kim, I. S. (2014) · Journal of Internet Computing and services · doi:10.7472/jksii.2014.15.1.157 · Cited by 9

Communication Characterization and Optimization of Applications Using Topology-Aware Task Mapping on Large Supercomputers

Sreepathi, S., D'Azevedo, E., Philip, B., & Worley, P. H. (2016) · ACM/SPEC International Conference on Performance Engineering (ICPE) · doi:10.1145/2851553.2851575 · Cited by 9

Associations between ethnic identity, regional history, and genomic ancestry in New Mexicans of Spanish-speaking descent

Healy, M. E., Edgar, H. J. H., Mosley, C., & Hunley, K. (2018) · Biodemography and Social Biology · doi:10.1080/19485565.2018.1545563 · Cited by 10

The Impact of Metaphorical Prime on Metaphor Comprehension Processes

Khatin‐Zadeh, O., Khoshsima, H., Yarahmadzehi, N., & Marmolejo‐Ramos, F. (2019) · Australian Journal of Linguistics · doi:10.1080/07268602.2019.1623759 · Cited by 9

Effects of large-scale climate signals on snow cover in Khersan watershed, Iran

Choubin, B., Roshan, H. M., Hosseini, F. S., Rahmati, O., Melesse, A. M., & Singh, V. P. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815998-9.00001-4 · Cited by 9

Exponential families for Bayesian quantum process tomography

Schultz, K. (2019) · Physical Review A · doi:10.1103/physreva.100.062316 · Cited by 9

Ultrasound Stimulations Induce Prolonged Depolarization and Fast Action Potentials in Leech Neurons

Dedola, F., Severino, F. P. U., Meneghetti, N., Lemaire, T., Cafarelli, A., Ricotti, L., Menciassi, A., Cutrone, A., Mazzoni, A., & Micera, S. (2020) · IEEE Open Journal of Engineering in Medicine and Biology · doi:10.1109/ojemb.2019.2963474 · Cited by 9

Challenge for Planning by Using Cluster Methodology: The Case Study of the Algarve Region

Bienvenido-Huertas, D., Farinha, F., Oliveira, M. J., Silva, E., & Lança, R. (2020) · Sustainability · doi:10.3390/su12041536 · Cited by 9

DataShiftExplorer: Visualizing and Comparing Change in Multidimensional Data for Supervised Learning

Schneider, B., Keim, D. A., & El‐Assady, M. (2020) · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) · doi:10.5220/0008940801410148 · Cited by 9

Modeling Partitions of Individuals

Hoffman, M., Block, P., & Snijders, T. A. B. (2023) · Sociological Methodology · doi:10.1177/00811750221145166 · Cited by 9

Positional inference in rhesus macaques

Jensen, G., Ferrera, V. P., & Terrace, H. S. (2021) · Animal Cognition · doi:10.1007/s10071-021-01536-x · Cited by 9

Attention deficit hyperactivity disorder symptoms and cannabis use after 1 year among students of the i-Share cohort

Jean, F. A. M., Arsandaux, J., Montagni, I., Collet, O. A., Fatseas, M., Auriacombe, M., Ramos‐Quiroga, J. A., Côté, S. M., Tzourio, C., & Galéra, C. (2022) · European Psychiatry · doi:10.1192/j.eurpsy.2022.14 · Cited by 9

Detailed Study of Wine Dataset and its Optimization

Dhaliwal, P., Sharma, S., & Chauhan, L. (2022) · International Journal of Intelligent Systems and Applications · doi:10.5815/ijisa.2022.05.04 · Cited by 9

Influence of Nitrogen on Grapevine Susceptibility to Downy Mildew

Marcianò, D., Ricciardi, V., Maddalena, G., Massafra, A., Fassolo, E. M., Masiero, S., Bianco, P. A., Failla, O., Lorenzis, G. D., & Toffolatti, S. L. (2023) · Plants · doi:10.3390/plants12020263 · Cited by 9

Impact of Amidination on Peptide Fragmentation and Identification in Shotgun Proteomics

Li, S., Dabir, A., Misal, S. A., Tang, H., Predrag Radivojac, A., & Reilly, J. P. (2016) · Journal of Proteome Research · doi:10.1021/acs.jproteome.6b00468 · Cited by 9

A novel method for estimating the common signals for consensus across multiple ranked lists

Švendová, V., & Schimek, M. G. (2017) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2017.05.010 · Cited by 9

“But You Didn’t Give Me the Formula!” and Other Math Challenges in the Context of a Chemistry Course

Phelps, A. J. (2019) · ACS symposium series · doi:10.1021/bk-2019-1316.ch007 · Cited by 9

Weighted likelihood inference of genomic autozygosity patterns in dense genotype data

Blant, A., Kwong, M., Szpiech, Z. A., & Pemberton, T. J. (2017) · BMC Genomics · doi:10.1186/s12864-017-4312-3 · Cited by 11

Critical phosphorus values from the Better Fertiliser Decisions for Pastures project: early insights from validation trials

Rogers, D. J., Weaver, D. M., Summers, R., Dobbe, E., Master, R., McFerran, R., Mussell, G., Dawson, L., Mercy, J., Richards, P. V. M., et al. (2021) · Australian Journal of Agricultural Research · doi:10.1071/cp20236 · Cited by 9

The Impact of Global Warming on the Range Distribution of Different Climatic Groups ofAspidoscelis costata costata

Güizado-Rodríguez, M. A., Ballesteros-Barrera, C., Casas-Andreu, G., Barradas, V. L., Téllez‐Valdés, O., & Salgado-Ugarte, I. (2012) · ZOOLOGICAL SCIENCE · doi:10.2108/zsj.29.834 · Cited by 9

Giving in dictator games -- Experimenter demand effect or preference over the rules of the game?

Chlab, N., & Moffatt, P. G. (2012) · PsycEXTRA Dataset · doi:10.1037/e629522012-013 · Cited by 9

Some Comments on the Reliability of NOAA's Storm Events DatabasePreprint

dos Santos, R. P. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2799273 · Cited by 10

Summarizing Data with Boxplots

Iglewicz, B. (2011) · International Encyclopedia of Statistical Science · doi:10.1007/978-3-642-04898-2_582 · Cited by 9

Violin Plot

Aberasturi, D. T. (2023) · Wiley StatsRef: Statistics Reference Online · doi:10.1002/9781118445112.stat08426 · Cited by 9

Violinboxplot and enhanced radar plot as components of effective graphical dashboards: An educational example of sports analytics

Casals, M., & Daunis‐i‐Estadella, P. (2022) · International Journal of Sports Science & Coaching · doi:10.1177/17479541221099638 · Cited by 8

Sea stack plots: Replacing bar charts with histograms

Stuart, A., Ilíć, M., Simmons, B. I., & Sutherland, W. J. (2024) · Ecology and Evolution · doi:10.1002/ece3.11237 · Cited by 8

Statistical Study of Energy Transport and Conversion in Electron Diffusion Regions at Earth's Dayside Magnetopause

Fargette, N., Eastwood, J. P., Waters, C. L., Øieroset, M., Phan, T. D., Newman, D. L., Stawarz, J. E., Goldman, M. V., & Lapenta, G. (2024) · Journal of Geophysical Research Space Physics · doi:10.1029/2024ja032897 · Cited by 8

Environmental Variation or Instrumental Drift? A Probabilistic Approach to Gas Sensor Drift Modeling and Evaluation

Yang, C., Bohlin, G., & Oechtering, T. J. (2024) · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · doi:10.1109/sensors60989.2024.10784897 · Cited by 8

Integrating Advanced Machine Learning Models for Accurate Prediction of Porosity and Permeability in Fractured and Vuggy Carbonate Reservoirs: Insights from the Tarim Basin, Northwestern, China

Mabiala, A. P., Cai, Z., Kouassi, A. K. F., Zhang, H., Mwakipunda, G. C., & Mahamadou, A. S. (2025) · SPE Journal · doi:10.2118/226198-pa · Cited by 8

Tree-ring blue-intensity reconstruction of the April–September maximum temperature in the Greater Caucasus region of Georgia since 1780 CE

Bakhtiyorov, Z., Chen, F., Chen, Y., Wang, S., Zhang, H., Hu, M., Yue, W., Habibulloev, S., Kavtaradze, G., Rahmonov, O., et al. (2025) · International Journal of Biometeorology · doi:10.1007/s00484-025-02930-7 · Cited by 8

Gait Event Detection and Gait Parameter Estimation from a Single Waist-Worn IMU Sensor

Stenger, R., Pour, H. H., Teich, J., Hein, A., & Fudickar, S. (2025) · Sensors · doi:10.3390/s25206463 · Cited by 11

Cross-tissue eQTL enrichment of associations in schizophrenia

Bettella, F., Brown, A. A., Smeland, O. B., Wang, Y., Witoelar, A., Demur, A. A. B., Thompson, W. K., Zuber, V., Dale, A. M., Djurovic, S., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0202812 · Cited by 7

A SPoARC of Music: Musicians Spatialize Melodies but not All‐Comers

Guida, A., & Porret, A. (2022) · Cognitive Science · doi:10.1111/cogs.13139 · Cited by 8

A long short-term memory deep learning approach for river water temperature prediction

Heddam, S., Kim, S., Mehr, A. D., Zounemat‐Kermani, M., Elbeltagi, A., Malik, A., & Kişi, Ö. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-85597-6.00015-x · Cited by 8

How ‘outdoors time’ transforms the social relationships of children in Iceland

Þorsteinsson, J. F., Arnarsson, Á. M., & Jónasson, J. T. (2023) · Journal of Outdoor and Environmental Education · doi:10.1007/s42322-023-00123-7 · Cited by 9

An experimental investigation of the fluid accessibility of preconditioned sulphide copper ores

López, P., Araos, M. U., Leonardi, C. R., & Onederra, I. A. (2023) · Minerals Engineering · doi:10.1016/j.mineng.2023.108142 · Cited by 8

Computable Access Control: Embedding Access Control Rules Into Euclidean Space

Dong, L., Wu, T., Wei, J., Jiang, B., & Li, X. (2023) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2023.3283527 · Cited by 8

Comparison of Complex Thinking Skills between Students from Public and Private Institutions in Mexico

Tecnologico de Monterrey, M., López-Caudana, E. O., Parra, J. C. V., Tecnologico de Monterrey, M., Cruz-Sandoval, M. A., Tecnologico de Monterrey, M., Rojas, J. J. B., & Institucion Universitaria CEIPA, C. J. B. E. C. (2023) · International Journal of Instruction · doi:10.29333/iji.2024.1713a · Cited by 8

Hospital variation of outcomes in status epilepticus

Terman, S. W., Guterman, E. L., Lin, C. C., Thompson, M. P., & Burke, J. F. (2024) · Epilepsia · doi:10.1111/epi.17927 · Cited by 8

A goodness of fit framework for relational event models

Amati, V., Lomi, A., & Snijders, T. A. B. (2024) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1093/jrsssa/qnae016 · Cited by 8

Advancing Tinnitus Therapeutics: GPT-2 Driven Clustering Analysis of Cognitive Behavioral Therapy Sessions and Google T5-Based Predictive Modeling for THI Score Assessment

Jeong, Y., Song, J., Yang, J., & Kang, S. M. (2024) · IEEE Access · doi:10.1109/access.2024.3383020 · Cited by 10

On the evaluation of mono-nanofluids’ density using a radial basis function neural network optimized by evolutionary algorithms

Deymi, O., Rezaei, F., Atashrouz, S., Nedeljković, D., Mohaddespour, A., & Hemmati‐Sarapardeh, A. (2024) · Thermal Science and Engineering Progress · doi:10.1016/j.tsep.2024.102750 · Cited by 8

Spatial tree community structure in three stands across a forest succession gradient in northern boreal Fennoscandia

Kreutz, A., Aakala, T., Grenfell, R., & Kuuluvainen, T. (2015) · Silva Fennica · doi:10.14214/sf.1279 · Cited by 8

Stochastic actor-oriented modeling for studying homophily and social influence in OSS projects

Kavaler, D., & Filkov, V. (2017) · Empirical Software Engineering · doi:10.1007/s10664-016-9431-y · Cited by 6

From Regional to National Clouds: TV Coverage in the Czech Republic

Sucháček, J., Seďa, P., Friedrich, V., Wachowiak-Smolíková, R., & Wachowiak, M. P. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165527 · Cited by 8

Power Consumption-Aware Virtual Machine Allocation in Cloud Data Center

Portaluri, G., Adami, D., Gabbrielli, A., Giordano, S., & Pagano, M. (2016) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/glocomw.2016.7849005 · Cited by 8

Statistical Analysis of the Sixth AIAA Drag Prediction Workshop Solutions

Derlaga, J. M., & Morrison, J. H. (2018) · Journal of Aircraft · doi:10.2514/1.c034938 · Cited by 8

Effect of calf age on bovine viral diarrhea virus tests

McDougall, S. (2021) · Journal of Veterinary Diagnostic Investigation · doi:10.1177/1040638721998821 · Cited by 8

Geochemistry of Sub-Depositional Environments in Estuarine Sediments: Development of an Approach to Predict Palaeo-Environments from Holocene Cores

Muhammed, D. D., Simon, N., Utley, J. E. P., Verhagen, I. T. E., Duller, R. A., Griffiths, J., Wooldridge, L. J., & Worden, R. H. (2022) · Geosciences · doi:10.3390/geosciences12010023 · Cited by 8

An innovative electron paramagnetic resonance and statistical analysis approach to investigate the geographical origin of multi-layered samples from a Renaissance painting

Romanelli, M., Buccianti, A., Benedetto, F. D., Bellucci, L., & Cemicky, S. (2022) · Microchemical Journal · doi:10.1016/j.microc.2022.107219 · Cited by 8

Renaissance: A self-stabilizing distributed SDN control plane using in-band communications

Canini, M., Salem, I., Schiff, L., Schiller, E. M., & Schmid, S. (2022) · Journal of Computer and System Sciences · doi:10.1016/j.jcss.2022.02.001 · Cited by 8

Estimating of aqueduct water withdrawal via a wavelet-hybrid soft-computing approach under uniform and non-uniform climatic conditions

Zamanzad-Ghavidel, S., Fazeli, S., Mozaffari, S., Sobhani, R., Azamathulla, H. M., & Emadi, A. (2022) · Environment Development and Sustainability · doi:10.1007/s10668-022-02265-y · Cited by 8

Protein expression of the gp78 E3 ligase predicts poor breast cancer outcome based on race

Singhal, S. K., Byun, J. S., Yan, T., Yancey, R., Caban, A., Gil‐Hernández, S., Bufford, S., Hewitt, S. M., Winfield, J. R., Pradhan, J. S., et al. (2022) · JCI Insight · doi:10.1172/jci.insight.157465 · Cited by 8

A Case Study of Refined Building Climate Zoning under Complicated Terrain Conditions in China

Zhang, T., Chen, X., Fen, Z., Zhi, Y., Wang, Y., Li, Y., & Wei, L. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19148530 · Cited by 8

Recovery of chloroplast genomes from medieval millet grains excavated from the Areni-1 cave in southern Armenia

Richards, S. M., Li, L., Breen, J., Hovhannisyan, N., Estrada, O., Gasparyan, B., Gilliham, M., Smith, A., Cooper, A., & Zhang, H. (2022) · Scientific Reports · doi:10.1038/s41598-022-17931-4 · Cited by 8

A Heuristic Strategy for Cognitive State-based Feedback Control to Accelerate Human Learning

Yuh, M. S., Byeon, S., Hwang, I., & Jain, N. (2022) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2023.01.111 · Cited by 8

Assessment of Various Multimodal Fusion Approaches Using Synthetic Aperture Radar (SAR) and Electro-Optical (EO) Imagery for Vehicle Classification via Neural Networks

Narayanan, R. M., Wood, N. S., & Lewis, B. (2023) · Sensors · doi:10.3390/s23042207 · Cited by 8

A standardized methodology for the validation of air quality forecast applications (F-MQO): lessons learnt from its application across Europe

Vitali, L., Cuvelier, K., Piersanti, A., Monteiro, A., Adani, M., Amorati, R., Bartocha, A., D'Ausilio, A., Durka, P., Gama, C., et al. (2023) · Geoscientific model development · doi:10.5194/gmd-16-6029-2023 · Cited by 8

The potential of polyhedral optimization: An empirical study

Simbürger, A., Apel, S., Größlinger, A., & Lengauer, C. (2013) · IEEE/ACM International Conference on Automated Software Engineering (ASE) · doi:10.1109/ase.2013.6693108 · Cited by 8

Bias and discriminability during emotional signal detection in melancholic depression

Hyett, M. P., Parker, G. B., & Breakspear, M. J. (2014) · BMC Psychiatry · doi:10.1186/1471-244x-14-122 · Cited by 8

Analysing the real-time-capability of wide area communication in smart grids

Dorsch, N., Georg, H., & Wietfeld, C. (2014) · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · doi:10.1109/infcomw.2014.6849313 · Cited by 8

Investigating the Other-Race Effect of Germans towards Turks and Arabs using Multinomial Processing Tree Models

Singmann, H., Kellen, D., & Klauer, K. C. (2013) · eScholarship (California Digital Library) · Cited by 8

Poly(3-hydroxybutyrate) anabolism in Cupriavidus necator cultivated at various carbon-to-nitrogen ratios: insights from single-cell Raman spectroscopy

Tao, Z., Zhang, P., Qin, Z., Li, Y.-Q., & Wang, G. (2016) · Journal of Biomedical Optics · doi:10.1117/1.jbo.21.9.097005 · Cited by 8

Oui! Outlier Interpretation on Multi‐dimensional Data via Visual Analytics

Zhao, X., Cui, W., Wu, Y., Zhang, H., Qu, H., & Zhang, D. (2019) · Computer Graphics Forum · doi:10.1111/cgf.13683 · Cited by 8

Comparing pitfall trapping and suction sampling data collection for ground-dwelling spiders in artificial forest gaps

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