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Citation Analysis

Unleashing the Power of AI: Transforming Marketing Decision-Making in Heavy Machinery with Machine Learning, Radar Chart Simulation, and Markov Chain Analysis
Tian Tian, Jiahao Deng
https://arxiv.org/abs/2405.01913
51
Citation mentions
50
Cited references
6
Sections
5,395
Words (approx)

References by Citation Intensity

Ordered by composite index (descending). Higher values indicate more intensive citation.

# Reference Year Mentions Breadth Sec. Wtd Share Composite Main %
1 Dormann, Carsten F and Elith, Jane and Bacher, Sve... 2013 2 2 4.0 0.039 0.644 100%
2 Prescott, John E and Grant, John H 1988 1 1 1.0 0.020 0.406 100%
3 Bloodgood, James M and Bauerschmidt, Alan 2002 1 1 1.0 0.020 0.406 100%
4 Barney, Jay B 1995 1 1 1.0 0.020 0.406 100%
5 Chinowsky, Paul S and Meredith, James E 2000 1 1 1.0 0.020 0.406 100%
6 Nyambane, JM and Bett, S 2018 1 1 1.0 0.020 0.406 100%
7 Lee, Sang-Hyo and Jeon, Rak-Keun and Kim, Ju-Hyung... 2011 1 1 1.0 0.020 0.406 100%
8 Lee, Kang-Wook and Han, Seung H and Park, Heedae a... 2016 1 1 1.0 0.020 0.406 100%
9 Harstad, Ronald M 1990 1 1 1.0 0.020 0.406 100%
10 Netessine, Serguei and Shumsky, Robert A 2005 1 1 1.0 0.020 0.406 100%
11 Hartmann, George C 2003 1 1 1.0 0.020 0.406 100%
12 Chen, You-Shyang and Cheng, Ching-Hsue 2007 1 1 1.0 0.020 0.406 100%
13 Le 2012 1 1 1.0 0.020 0.406 100%
14 Adner, Ron 2002 1 1 1.0 0.020 0.406 100%
15 Elahi, Ehsan 2013 1 1 1.0 0.020 0.406 100%
16 Bengtsson, Maria and Kock, So 1999 1 1 1.0 0.020 0.406 100%
17 Putka, Dan J and Beatty, Adam S and Reeder, Matthe... 2018 1 1 2.0 0.020 0.406 100%
18 Ayers, Kristin L and Cordell, Heather J 2010 1 1 2.0 0.020 0.406 100%
19 Lin, Feng-Han and Tsai, Sang-Bing and Lee, Yu-Chen... 2017 1 1 2.0 0.020 0.406 100%
20 Ahn, Jae Joon and Byun, Hyun Woo and Oh, Kyong Joo... 2012 1 1 2.0 0.020 0.406 100%
21 Ranjan, Jayanthi 2009 1 1 2.0 0.020 0.406 100%
22 Porter, Michael E and Heppelmann, James E and othe... 2015 1 1 2.0 0.020 0.406 100%
23 Tsai, Chun-Wei and Lai, Chin-Feng and Chao, Han-Ch... 2015 1 1 2.0 0.020 0.406 100%
24 Sornette, Didier 2014 1 1 2.0 0.020 0.406 100%
25 Koller, Daphne and Friedman, Nir 2009 1 1 2.0 0.020 0.406 100%
26 Asavathiratham, Chalee 2001 1 1 2.0 0.020 0.406 100%
27 Chan, SL and Ip, WH 2011 1 1 2.0 0.020 0.406 100%
28 Liu, Wen-Yuan and Wang, Bao-Wen and Yu, Jia-Xin an... 2008 1 1 2.0 0.020 0.406 100%
29 Liu, Zhengliang and Crouser, R Jordan and Ottley, ... 2020 1 1 2.0 0.020 0.406 100%
30 Zhang, Yu and Hao, Zhixiu and Wang, Rencheng and J... 2007 1 1 2.0 0.020 0.406 100%
31 Bautista-Rodriguez, Carles and Sanchez-de-Toledo, ... 2021 1 1 2.0 0.020 0.406 100%
32 Chang, Yu-Chun and Chang, Chi-Jui and Chen, Kuan-T... 2012 1 1 2.0 0.020 0.406 100%
33 Duan, Rui and Tong, Jiayi and Sutton, Alex J and A... 2023 1 1 2.0 0.020 0.406 100%
34 Jayaprakash, Sandeep M and Laur\'\i 2016 1 1 2.0 0.020 0.406 100%
35 Peng, Weishi 2022 1 1 2.0 0.020 0.406 100%
36 Chang, Yu-Chun and Chang, Chi-Jui and Chen, Kuan-T... 2010 1 1 2.0 0.020 0.406 100%
37 Zhang, Yongbin and Liang, Ronghua and Fu, Xiuli an... 2022 1 1 2.0 0.020 0.406 100%
38 Studds, Robert FA 1954 1 1 2.0 0.020 0.406 100%
39 Satriadi, Kadek Ananta and Ens, Barrett and Goodwi... 2023 1 1 2.0 0.020 0.406 100%
40 Tsao, Yen-Po and Yeh, Wan-Yu and Hsu, Teh-Fu and C... 2022 1 1 2.0 0.020 0.406 100%
41 McGahan, Anita M 1999 1 1 2.0 0.020 0.406 100%
42 Davies, RL 1973 1 1 2.0 0.020 0.406 100%
43 Jahan, Shah and Khan, Khurram Iqbal Ahmad and Thah... 2022 1 1 2.0 0.020 0.406 100%
44 Jugend, Daniel and Da Silva, Se 2014 1 1 2.0 0.020 0.406 100%
45 Wernerfelt, Birger 1986 1 1 2.0 0.020 0.406 100%
46 Trivedi, Minakshi 1998 1 1 2.0 0.020 0.406 100%
47 Smith, Katherine Taken and Smith, Murphy and Wang,... 2010 1 1 2.0 0.020 0.406 100%
48 Keast, Sarah 2013 1 1 2.0 0.020 0.406 100%
49 Liang, Yueqing and Chen, Canyu and Tian, Tian and ... (self) 2023 1 1 2.0 0.020 0.406 100%
50 Deng, Jiahao and Brown, Eli T (self) 2021 1 1 2.0 0.020 0.406 100%
Measures: Mentions = total in-text citations; Breadth = distinct sections; Sec. Wtd = section-weighted count (body ×2, lit review/appendix ×0.5); Share = mentions / total citations in paper; Composite = geometric mean of normalised count, breadth, and main-text ratio; Main % = fraction of mentions in main text (excl. appendix). (self) = self-citation.

Citation intensity data generated from LaTeX source analysis.