J. Ching

672 total citations
9 papers, 166 citations indexed

About

J. Ching is a scholar working on Global and Planetary Change, Environmental Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, J. Ching has authored 9 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 5 papers in Environmental Engineering and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in J. Ching's work include Urban Heat Island Mitigation (4 papers), Urban Green Space and Health (3 papers) and Impact of Light on Environment and Health (3 papers). J. Ching is often cited by papers focused on Urban Heat Island Mitigation (4 papers), Urban Green Space and Health (3 papers) and Impact of Light on Environment and Health (3 papers). J. Ching collaborates with scholars based in United States, Austria and Germany. J. Ching's co-authors include Richard Rotunno, Pedro A. Jiménez, Jimy Dudhia, Alberto Martilli, Branko Kosović, Margaret A. LeMone, Benjamin Bechtel, Linda See, Iain D. Stewart and Martino Pesaresi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Weather Review and Urban Climate.

In The Last Decade

J. Ching

8 papers receiving 165 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
J. Ching United States	4	130	126	105	20	18	9	166
Sébastien Riette France	4	110 0.8×	102 0.8×	40 0.4×	11 0.6×	26 1.4×	8	135
K. E. Bozier United Kingdom	8	156 1.2×	116 0.9×	151 1.4×	20 1.0×	33 1.8×	8	212
Björn Brötz Germany	3	86 0.7×	96 0.8×	46 0.4×	6 0.3×	23 1.3×	5	143
Chaoxun Hang United States	6	132 1.0×	109 0.9×	64 0.6×	11 0.6×	6 0.3×	9	157
Carolin Klinger Germany	8	189 1.5×	171 1.4×	42 0.4×	6 0.3×	19 1.1×	11	222
Antoine Verrelle France	5	117 0.9×	114 0.9×	41 0.4×	12 0.6×	3 0.2×	7	138
O. Thouron France	12	356 2.7×	353 2.8×	76 0.7×	14 0.7×	29 1.6×	17	402
Caroline Brosy Germany	3	72 0.6×	82 0.7×	65 0.6×	5 0.3×	26 1.4×	4	148
Kostadin Ganev Bulgaria	7	134 1.0×	87 0.7×	56 0.5×	5 0.3×	77 4.3×	42	174
Minttu Tuononen Finland	6	179 1.4×	171 1.4×	65 0.6×	3 0.1×	19 1.1×	9	231

Countries citing papers authored by J. Ching

Since Specialization

Citations

This map shows the geographic impact of J. Ching's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. Ching with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Ching more than expected).

Fields of papers citing papers by J. Ching

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Ching. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. Ching. The network helps show where J. Ching may publish in the future.

Co-authorship network of co-authors of J. Ching

This figure shows the co-authorship network connecting the top 25 collaborators of J. Ching. A scholar is included among the top collaborators of J. Ching based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Ching. J. Ching is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Mills, Gerald, J. Ching, Benjamin Bechtel, Chao Ren, & Linda See. (2021). An introduction to the special issue. Urban Climate. 37. 100801–100801. 1 indexed citations

2.

Ching, J., et al.. (2021). Convectively Induced Secondary Circulations in Fine-Grid Mesoscale Numerical Weather Prediction Models. UNC Libraries. 1 indexed citations

3.

Mouzourides, Petros, et al.. (2017). How can a Multi-scale Analysis Guide Smart Urban Energy Demand Management? An Example from London City Westminster Borough. Procedia Engineering. 180. 433–442. 3 indexed citations

4.

Bechtel, Benjamin, Martino Pesaresi, Linda See, et al.. (2016). TOWARDS CONSISTENT MAPPING OF URBAN STRUCTURES – GLOBAL HUMAN SETTLEMENT LAYER AND LOCAL CLIMATE ZONES. SHILAP Revista de lepidopterología. XLI-B8. 1371–1378. 24 indexed citations

5.

See, Linda, J. Ching, Valéry Masson, et al.. (2015). Generating WUDAPT’s Specific Scale-dependent Urban Modeling and Activity Parameters: Collectionof Level 1 and Level 2 Data. 6 indexed citations

6.

Ching, J., Grant Mills, Linda See, et al.. (2015). The Portal Component, Strategic Perspectives and Review of Tactical plans for Full Implementation of WUDAPT. MPG.PuRe (Max Planck Society). 4 indexed citations

7.

Burian, Steven J., et al.. (2015). 2004: Urban morphological analysis for mesoscale meteorological and dispersion modeling applications: Current issues. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

8.

Ching, J., Richard Rotunno, Margaret A. LeMone, et al.. (2014). Convectively Induced Secondary Circulations in Fine-Grid Mesoscale Numerical Weather Prediction Models. Monthly Weather Review. 142(9). 3284–3302. 126 indexed citations

9.

Ching, J., et al.. (1995). Study of gridded mixing heights and cloud fields derived from the mesoscale meteorological model with four dimensional data assimilation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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