[1] Carranza, E.J.M., Sadeghi, M. (2012). Primary geochemical characteristics of mineral deposits - Implications for exploration, Ore Geology Reviews 45.1–4
[2] Kekelia, S.A., Kekelia, M.A., Kuloshvili, S.I., Sadradze, N.G., Gagnidze, N.E., Yaroshevich, V.Z., Asatiani, G.G., Doebrich, J.L., Goldfarb, R.J., Marsh, E.E. (2008). Gold deposits and occurrences of the Greater Caucasus, Georgia Republic: their genesis and prospecting criteria. Ore Geol. Rev. 34, 369–386.
[3] Grigorian, S.V. (1985). Secondary Lithochemical Halos in Prospecting for Hidden Mineralization. Nedra Publishing House, Moscow.
[4] Grigorian, S.V. (1992). Mining Geochemistry. Nedra Publishing House, Moscow.
[5] Beus, A.A., Grigorian, S.V. (1977). Geochemical Exploration Methods for Mineral Deposits. Applied Publishing Ltd., Wilmette, Illinois. 287 p.
[6] Distler, V.M., Yudovskaya, M.A., Mitrofanov, G.L., Prokof'ev, V.Y., Lishnevskii, E.N. (2004). Geology, composition, and genesis of the Sukhoi Log noble metals deposit, Russia. Ore Geol. Rev. 24, 7–44.
[7] Gundobin, G.M. (1984). Peculiarities in the zoning of primary halos. J. Geochem. Explor. 21, 193–200.
[8] Ziaii, M., Carranza, E.J.M, Ziaei, M. (2011). Application of geochemical zonality coefficients in mineral prospectivity mapping. Comput. Geosci. 37, 1935–1945.
[9] Shahi, H. (2017). Prediction of dispersed mineralization zone in depth using frequency domain of surface geochemical data. Journal of Mining and Environment, 8(3), pp.433-446.
[10] Cao, L., Cheng, Q. (2012). Quantification of anisotropic scale invariance of geochemical anomalies associated with Sn-Cu mineralization in Gejiu, Yunan Province, China, Geochemical Exploration 122, 47–54.
[11] Cheng, Q., Zhao, P. (2011). Singularity theories and methods for characterizing mineralization processes and mapping geo-anomalies for mineral deposit prediction. Geoscience Frontiers, 2(1), 67-79.
[12] Cheng, Q., Xu, Y., Grunsky, E. (2000). Integrated Spatial and Spectrum Method for Geochemical Anomaly Separation, Natural Resources Research, Vol. 9, No.1.
[13] Cheng, Q. (1999). Spatial and scaling modelling for geochemical anomaly separation. Journal of Geochemical Exploration 65, 175–194.
[14] Hassani, H., Daya, A., Alinia, F. (2009). Application of a fractal method relating power spectrum and area for separation of geochemical anomalies from background. Aust J Basic Appl Sci, 3(4), 3307-3320
[15] Zuo, R., Wang, J. (2015). Fractal/multifractal modeling of geochemical data: A review. Journal of Geochemical Exploration.
[16] Zuo, R., Carranza, E.J.M., Cheng, Q. (2012). Fractal/multifractal modelling of geochemical exploration data. Journal of Geochemical Exploration 122, 1-3.
[17] Zuo, R., Xia, Q., Zhang, D. (2013). A comparison study of the C-A and S-A models with singularity analysis to identify geochemical anomalies in covered areas. Applied Geochemistry 33, 165-172.
[18] Wang, J., Zuo, R. (2015). A MATLAB-based program for processing geochemical data using fractal/multifractal modeling. Earth Science Informatics, 1-11.
[19] Zuo, R. (2011). Decomposing of mixed pattern of arsenic using fractal model in Gangdese belt, Tibet, China. Applied Geochemistry 26, S271-S273.
[20] Wang, H., Zuo, R. (2015). A comparative study of trend surface analysis and spectrum–area multifractal model to identify geochemical anomalies. Journal of Geochemical Exploration, 155, 84-90.
[21] Zuo, R. (2011). Identifying geochemical anomalies associated with Cu and Pb–Zn skarn mineralization using principal component analysis and spectrum–area fractal the Gangdese Belt, Tibet (China). J. Geochemical Exploration. 111, 13-22.
[22] Shahi, H., Ghavami, R., Kamkar Rouhani, A., Asadi-Haroni, H. (2014). Identification of mineralization features and deep geochemical anomalies using a new FT-PCA approach, journal of Geopersia, 4 (2), 101-110.
[23] Shahi, H., Ghavami Riabi, R., Kamkar Ruhani, A. and Asadi Haroni, H. (2015). Prediction of mineral deposit model and identification of mineralization trend in depth using frequency domain of surface geochemical data in Dalli Cu-Au porphyry deposit. Journal of Mining and Environment, 6(2), pp.225-236.
[24] Shahi, H., Ghavami, R., & Rouhani, A. K. (2016). Detection of deep and blind mineral deposits using new proposed frequency coefficients method in frequency domain of geochemical data. Journal of Geochemical Exploration.
[25] Zarmehr Company. (2004). exploration report of Tnurcheh Au –Cu mineralization area, in Persian.
[26] Ziaii, M., Carranza, E. J. M., & Ziaei, M. (2011). Application of geochemical zonality coefficients in mineral prospectivity mapping. Computers & geosciences, 37(12), 1935-1945.
[27] Ziaii, M. (1996). Lithogeochemical Exploration Methods for Porphyry Copper Deposit in Sungun, NW Iran. Unpublished M.Sc. Thesis, Moscow State University (MSU), Moscow, 98 pp. (in Russian).
[28] Ziaii, M., Pouyan, A.A., Ziaei, M. (2009). Neuro-fuzzy modelling in mining geochemistry: Identifications of geochemical anomalies, Journal of Geochemical Exploration 100, 25-26.
[29] Davis, J.C., (2002), Statistics and Data Analysis in Geology,3rd ed. John Wiley & Sons Inc., NewYork, 550pp.
[30] Hassanpour, S., & Afzal, P. (2013). Application of concentration–number (C–N) multifractal modeling for geochemical anomaly separation in Haftcheshmeh porphyry system, NW Iran. Arabian Journal of Geosciences, 6(3), 957-970.
[31] Cheng, Q., Agterberg, F. P., Ballantyne, S. B. (1994). The separation of geochemical anomalies from background by fractal methods. Journal of Geochemical Exploration, 51(2), 109-130.
[32] Dobrin, M.B. and Savit, C.H. (1998). Geophysical propecting: McGraw-Hill Book Co., New York, 867 P.
[33] Bhattacharyya, B.K. (1966). Continuous spectrum of the total-magnetic-field anomaly due to a rectangular prismatic body. Geophysics. 31 (1): 97121.
[34] Gonzalez, R.C. and Woods, R.E. (2002). Digital image processing. Prentice-Hall, Upper Saddle River, NJ. 793 P.