X. Fang

Applied Mathematics · Journal of Geodesy · 2013–2015

A researcher in the Science corpus: 5 papers; trusts 30 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Applied Mathematics — 52 citations into it; #3,339 of 7,620 by trust here, #3,794 by citations
• Environmental Engineering — 30 citations into it; #2,610 of 5,479 by trust here, #5,088 by citations
• Statistics and Probability — 23 citations into it; #7,763 of 12,932 by trust here, #12,077 by citations
• Artificial Intelligence — 18 citations into it; #21,211 of 35,345 by trust here, #34,213 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #13,172 of 21,575 by trust here, #18,782 by citations
• Plant Science — 8 citations into it
• Oceanography — 7 citations into it; #1,239 of 4,047 by trust here, #3,068 by citations

Whom X. Fang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Burkhard Schaffrin
2. Frank Neitzel
3. Y. Felus
4. Alireza Amiri-Simkooei
5. V. Mahboub
6. Peiliang Xu
7. Alexander Kukush
8. Yunzhong Shen
9. S. Jazaeri
10. E. Grafarend

Who trusts X. Fang overall

1. Guobin Chang

Papers from X. Fang's perspective

Ordered by how strongly the researchers X. Fang trusts endorse each paper. Same corpus, a different order for every researcher.

1. On weighted total least-squares adjustment for linear regression
2. A note on Constrained Total Least-Squares estimation
3. On Total Least-Squares Adjustment with Constraints
4. Generalization of total least-squares on example of unweighted and weighted 2D similarity transformation
5. An iterative solution of weighted total least-squares adjustment
6. Total Least-Squares (TLS) for geodetic straight-line and plane adjustment
7. Total least squares adjustment in partial errors-in-variables models: algorithm and statistical analysis (Journal of Geodesy)
8. A Quaternion-based Geodetic Datum Transformation Algorithm
9. Total Least Squares Solution of Coordinate Transformation
10. Weighted total least squares formulated by standard least squares theory

Their papers

• Weighted total least-squares with constraints: a universal formula for geodetic symmetrical transformations (2015) — 121 citations
• On non-combinatorial weighted total least squares with inequality constraints (2014) — 61 citations
• A total least squares solution for geodetic datum transformations (2014) — 55 citations
• Weighted total least squares: necessary and sufficient conditions, fixed and random parameters (2013) — 132 citations
• A structured and constrained Total Least-Squares solution with cross-covariances (2013) — 72 citations