Xiao Ding

2.3k total citations · 2 hit papers
49 papers, 1.1k citations indexed

About

Xiao Ding is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Xiao Ding has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 7 papers in Information Systems. Recurrent topics in Xiao Ding's work include Topic Modeling (24 papers), Natural Language Processing Techniques (18 papers) and Stock Market Forecasting Methods (5 papers). Xiao Ding is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (18 papers) and Stock Market Forecasting Methods (5 papers). Xiao Ding collaborates with scholars based in China, Singapore and Sweden. Xiao Ding's co-authors include Junwen Duan, Ting Liu, Yue Zhang, Ting Liu, Yue Zhang, Ting Liu, Bing Qin, Zhongyang Li, Li Du and Yue Zhang and has published in prestigious journals such as IEEE Access, Neuropharmacology and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Xiao Ding

44 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning for event-driven stock prediction

2015 344 citations Xiao Ding, Yue Zhang et al. International Conference on Artificial Intelligence profile →
Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling

2024 69 citations Xiao Ding et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiao Ding China	16	516	504	219	212	171	49	1.1k
Yuanzhu Chen Canada	18	222 0.4×	309 0.6×	171 0.8×	158 0.7×	363 2.1×	80	1.3k
Rui Mao Singapore	23	1.0k 2.0×	267 0.5×	73 0.3×	47 0.2×	98 0.6×	103	1.6k
Kiyoaki Shirai Japan	9	587 1.1×	318 0.6×	129 0.6×	142 0.7×	79 0.5×	46	916
Kumiko Tanaka‐Ishii Japan	21	507 1.0×	105 0.2×	53 0.2×	67 0.3×	49 0.3×	90	1.2k
Khaled H. Alyoubi Saudi Arabia	13	186 0.4×	201 0.4×	59 0.3×	70 0.3×	110 0.6×	38	577
Ling He China	20	238 0.5×	92 0.2×	284 1.3×	350 1.7×	36 0.2×	123	1.2k
Hakan Gündüz Türkiye	9	158 0.3×	232 0.5×	74 0.3×	89 0.4×	106 0.6×	19	638
Lai Xu United States	16	92 0.2×	94 0.2×	521 2.4×	432 2.0×	73 0.4×	79	1.5k
M. Patrick Cottrell France	12	333 0.6×	175 0.3×	25 0.1×	60 0.3×	96 0.6×	28	827

Countries citing papers authored by Xiao Ding

Since Specialization

Citations

This map shows the geographic impact of Xiao Ding'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 Xiao Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Ding more than expected).

Fields of papers citing papers by Xiao Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao Ding. 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 Xiao Ding. The network helps show where Xiao Ding may publish in the future.

Co-authorship network of co-authors of Xiao Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Ding. A scholar is included among the top collaborators of Xiao Ding 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 Xiao Ding. Xiao Ding 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:

20 of 20 papers shown

Wang, Peng, et al.. (2025). Necessary and sufficient knowledge enhanced collaborative logical reasoning in LLMs. Neural Networks. 194. 108164–108164.

Ma, Xingyuan, Chao Sun, Xiao Ding, et al.. (2025). Advances in the treatment of glioma-related signaling pathways and mechanisms by metformin. Frontiers in Oncology. 15. 1482050–1482050. 2 indexed citations

Ding, Xiao, et al.. (2025). Bridging Neural and Symbolic Reasoning: A Dual-System Framework for Interpretable Question Answering. 1–5.

Ding, Xiao, et al.. (2025). Final: Combining First-Order Logic With Natural Logic for Question Answering. IEEE Transactions on Knowledge and Data Engineering. 37(6). 3103–3117.

Wu, Tingting, et al.. (2024). Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement. Neural Networks. 176. 106383–106383. 2 indexed citations

Zhang, Yuhang, Xiao Ding, Xingyuan Ma, et al.. (2024). Panaroma of microglia in traumatic brain injury: a bibliometric analysis and visualization study during 2000–2023. Frontiers in Cellular Neuroscience. 18. 1495542–1495542. 3 indexed citations

Du, Li, et al.. (2024). Causal-Guided Active Learning for Debiasing Large Language Models. 14455–14469. 2 indexed citations

Du, Li, et al.. (2024). Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning. 9386–9406. 3 indexed citations

Ding, Xiao, et al.. (2024). Chisco: An EEG-based BCI dataset for decoding of imagined speech. Scientific Data. 11(1). 1265–1265. 4 indexed citations

10.

Zhu, Wei, Xiaosong Liu, Tingting Liu, et al.. (2023). Discovery of novel and selective SIK2 inhibitors by the application of AlphaFold structures and generative models. Bioorganic & Medicinal Chemistry. 91. 117414–117414. 17 indexed citations

11.

Fang, Yinquan, Xiao Ding, Yihe Zhang, et al.. (2022). Fluoxetine inhibited the activation of A1 reactive astrocyte in a mouse model of major depressive disorder through astrocytic 5-HT2BR/β-arrestin2 pathway. Journal of Neuroinflammation. 19(1). 23–23. 61 indexed citations

12.

Ding, Xiao, et al.. (2020). HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection. 354–360. 5 indexed citations

13.

Ding, Xiao, Qiqi Song, Zhitao Han, et al.. (2020). Lactate enhances Arc/arg3.1 expression through hydroxycarboxylic acid receptor 1-β-arrestin2 pathway in astrocytes. Neuropharmacology. 171. 108084–108084. 24 indexed citations

14.

Li, Zhongyang, Xiao Ding, & Ting Liu. (2018). Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training. International Conference on Computational Linguistics. 1033–1043. 17 indexed citations

15.

Ding, Xiao, Yue Zhang, Ting Liu, & Junwen Duan. (2016). Knowledge-Driven Event Embedding for Stock Prediction. International Conference on Computational Linguistics. 2133–2142. 63 indexed citations

16.

Ding, Xiao, Yue Zhang, Ting Liu, & Junwen Duan. (2015). Deep learning for event-driven stock prediction. International Conference on Artificial Intelligence. 2327–2333. 344 indexed citations breakdown →

17.

Ding, Xiao, Bing Qin, & Ting Liu. (2015). BUEES: a bottom-up event extraction system. Frontiers of Information Technology & Electronic Engineering. 16(7). 541–552. 1 indexed citations

18.

Ding, Xiao, Yue Zhang, Ting Liu, & Junwen Duan. (2014). Using Structured Events to Predict Stock Price Movement: An Empirical Investigation. 1415–1425. 160 indexed citations

19.

Ding, Xiao, Zhicheng Dou, Bing Qin, Ting Liu, & Ji-Rong Wen. (2013). Improving Web Search Ranking by Incorporating Structured Annotation of Queries. 468–478. 2 indexed citations

20.

Ding, Xiao, Bing Qin, & Ting Liu. (2013). Building Chinese Event Type Paradigm Based on Trigger Clustering. International Joint Conference on Natural Language Processing. 311–319. 2 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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